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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. 23668
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    Explanations

    phrases related to decision-making

    oai_token-act-pair · gpt-3.5-turbo

    terms related to decision-making and problem-solving processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
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    No Comments

    Negative Logits
    hip
    -0.73
    oup
    -0.67
    auga
    -0.67
    orpor
    -0.67
    BW
    -0.65
    aiman
    -0.65
    estial
    -0.64
    cale
    -0.64
    ync
    -0.63
    ummer
    -0.63
    POSITIVE LOGITS
    boards
    0.91
    Maker
    0.86
    maker
    0.85
     makers
    0.83
    making
    0.83
    able
    0.80
     hunts
    0.77
    makers
    0.76
    board
    0.74
    ables
    0.73
    Activations Density 0.544%

    No Known Activations