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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. 5-RES-JB
    6. 6499
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    Explanations

    different types or levels of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that refer to various categories or classifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    arton
    -0.66
    ocalypse
    -0.60
     deadliest
    -0.60
    waukee
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    moon
    -0.59
    NOT
    -0.58
    efficiency
    -0.57
    Optional
    -0.57
    dq
    -0.57
    CTV
    -0.57
    POSITIVE LOGITS
     differing
    0.93
     sexes
    0.90
     different
    0.90
     depending
    0.89
     configurations
    0.89
     styles
    0.86
     architectures
    0.80
     perspectives
    0.80
     varying
    0.78
     factions
    0.78
    Activations Density 0.284%

    No Known Activations