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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. 2-RES-JB
    11. 19394
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    Explanations

    the word "uh" with varying levels of intensity

    oai_token-act-pair · gpt-3.5-turbo

    the expression of surprise or disbelief

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BOOK
    -0.83
    NetMessage
    -0.70
    within
    -0.69
    skirts
    -0.68
     Reborn
    -0.64
    pocket
    -0.63
     notebooks
    -0.63
    yards
    -0.62
     Painter
    -0.62
    0000000000000000
    -0.61
    POSITIVE LOGITS
    ahah
    1.16
    awk
    1.06
    hhhh
    0.97
    uh
    0.94
    ansen
    0.91
    awks
    0.89
    ollah
    0.89
    hhh
    0.89
    umph
    0.89
    ghan
    0.88
    Activations Density 0.003%

    No Known Activations