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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. 14964
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    INDEX
    Explanations

    hypothetical scenarios or counterfactual situations expressed with "what would" statements

    oai_token-act-pair · gpt-3.5-turbo

    conditional and hypothetical scenarios involving personal experiences or feelings

    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
    Not in Any Lists

    No Comments

    Negative Logits
     \'
    -0.67
    endiary
    -0.63
    pher
    -0.61
    haw
    -0.61
    ench
    -0.61
    illa
    -0.61
    het
    -0.61
    internal
    -0.60
    kee
    -0.60
    atonin
    -0.59
    POSITIVE LOGITS
     someday
    0.83
     if
    0.79
    aeda
    0.77
     feas
    0.74
     unthinkable
    0.71
    enance
    0.70
    Had
    0.70
    efe
    0.70
    «
    0.69
     Would
    0.69
    Activations Density 0.720%

    No Known Activations