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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. 4-RES-JB
    11. 20431
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    Explanations

    strong emotional reactions to events or statements

    oai_token-act-pair · gpt-3.5-turbo

    emotional responses, particularly those reflecting confusion, disappointment, and impression

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

    No Comments

    Negative Logits
    hang
    -0.75
    checks
    -0.66
     dated
    -0.62
    forts
    -0.59
     Gong
    -0.59
    owe
    -0.59
    ILA
    -0.59
    allows
    -0.58
    allow
    -0.58
    Ranked
    -0.57
    POSITIVE LOGITS
    vier
    0.84
     aback
    0.84
    ragon
    0.70
     citiz
    0.69
    urous
    0.68
    ÃĽ
    0.66
    ulously
    0.66
     enough
    0.66
    retty
    0.65
    ĸļ
    0.65
    Activations Density 0.123%

    No Known Activations