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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. 11396
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    INDEX
    Explanations

    phrases indicating a strong desire or preference for certain actions or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire or willingness regarding actions and choices

    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
     enthusi
    -0.71
    ynski
    -0.70
    errors
    -0.68
    utenant
    -0.63
    ammy
    -0.62
    livious
    -0.61
    lish
    -0.61
    ãĥĺ
    -0.60
     Tycoon
    -0.60
    rics
    -0.59
    POSITIVE LOGITS
     to
    0.79
    zel
    0.66
    CU
    0.66
    reprene
    0.64
    awaru
    0.63
    htar
    0.63
     him
    0.63
    mares
    0.62
    .—
    0.60
     them
    0.56
    Activations Density 0.043%

    No Known Activations