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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 17680
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    INDEX
    Explanations

    phrases related to specific series or events, specifically "Formula" plus a number

    oai_token-act-pair · gpt-3.5-turbo

    references to different levels or categories within the Formula racing series

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iannopoulos
    -0.79
    oker
    -0.76
    oks
    -0.74
    asking
    -0.72
    hat
    -0.71
    skinned
    -0.70
    utils
    -0.68
    ividual
    -0.67
    umbn
    -0.66
    selves
    -0.66
    POSITIVE LOGITS
     Formula
    1.11
     Drift
    0.92
     formula
    0.86
     formulas
    0.77
     Renault
    0.76
     lapt
    0.72
    ĩ
    0.71
     racing
    0.69
     coefficient
    0.68
    Sport
    0.68
    Activations Density 0.005%

    No Known Activations