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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 20005
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    Explanations

    terms related to various objects and activities, including vehicles, machines, animals, and natural features

    oai_token-act-pair · gpt-3.5-turbo

    nouns related to objects or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ecause
    -0.68
     Universities
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     Helpful
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     Flavoring
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     PsyNet
    -0.61
    âĸĴ
    -0.60
    \.
    -0.60
    Laughs
    -0.58
     ______
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     Nights
    -0.56
    POSITIVE LOGITS
     consisted
    0.85
     belonged
    0.77
    maker
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     disappeared
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     consists
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     lasted
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     itself
    0.70
     vanished
    0.70
    washer
    0.70
     contains
    0.69
    Activations Density 0.542%

    No Known Activations