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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. 7-RES-JB
    6. 24339
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    Explanations

    phrases related to specific entities or brands

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific references related to popular culture

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     urgency
    -0.64
     scient
    -0.61
     fortun
    -0.59
     horm
    -0.59
     punitive
    -0.57
     sustained
    -0.54
     preventive
    -0.54
     overload
    -0.53
     prescribed
    -0.53
     assessing
    -0.53
    POSITIVE LOGITS
    Jr
    0.85
    psons
    0.75
    Legend
    0.74
    Ô
    0.73
    Magikarp
    0.71
    âĸij
    0.70
    SourceFile
    0.68
     Ltd
    0.68
     Tycoon
    0.67
    @@@@
    0.66
    Activations Density 1.138%

    No Known Activations