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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. 6-RES-JB
    11. 20580
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    INDEX
    Explanations

    references to different levels and aspects of the sport Formula racing

    oai_token-act-pair · gpt-3.5-turbo

    references to various Formula racing categories

    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
    iannopoulos
    -0.82
    essage
    -0.77
    ividual
    -0.76
    asking
    -0.76
    gat
    -0.74
    hat
    -0.72
    adows
    -0.71
    apult
    -0.69
    pocket
    -0.68
    oks
    -0.68
    POSITIVE LOGITS
     Drift
    1.02
     Formula
    0.96
     Renault
    0.81
    ĩ
    0.79
    Sport
    0.75
     formula
    0.74
     racing
    0.73
    ĭ
    0.67
    Guide
    0.67
    Fan
    0.66
    Activations Density 0.013%

    No Known Activations