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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. 0-RES-JB
    11. 1591
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    Explanations

    verbs related to the act of writing

    oai_token-act-pair · gpt-3.5-turbo

    references to the act of writing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ront
    -0.68
    imar
    -0.65
    aband
    -0.64
    姫
    -0.62
    arel
    -0.62
    alore
    -0.62
    Shot
    -0.61
    Match
    -0.58
    Prev
    -0.58
    rium
    -0.57
    POSITIVE LOGITS
     writing
    3.77
     Writing
    2.67
    writing
    2.54
    Writing
    2.52
     write
    2.00
     written
    1.84
     publishing
    1.78
     writers
    1.76
     reading
    1.71
     handwriting
    1.67
    Activations Density 0.009%

    No Known Activations