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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. 8-RES-JB
    11. 8161
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    INDEX
    Explanations

    references to fare-related services or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    words related to transportation fares and pricing

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icus
    -0.93
    antha
    -0.92
    ieth
    -0.86
    izations
    -0.77
    ertodd
    -0.77
    ifier
    -0.76
    ietal
    -0.75
    ica
    -0.73
    ifying
    -0.73
    icals
    -0.73
    POSITIVE LOGITS
     fare
    0.93
    ttes
    0.92
    fare
    0.91
     fares
    0.89
    renheit
    0.79
    well
    0.78
     evasion
    0.75
    bill
    0.72
    ways
    0.69
    ptin
    0.69
    Activations Density 0.037%

    No Known Activations