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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. 15003
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    INDEX
    Explanations

    instances of the word "See" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    references to external sources or citations

    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
     reson
    -0.73
     skill
    -0.65
     pitching
    -0.64
     gravity
    -0.62
     subt
    -0.62
     shr
    -0.62
     pitched
    -0.61
     timing
    -0.61
     blunt
    -0.61
     little
    -0.61
    POSITIVE LOGITS
    See
    3.56
     See
    2.33
    see
    2.09
    SEE
    1.94
     SEE
    1.39
    Compare
    1.35
     see
    1.34
    Learn
    1.33
     Cf
    1.32
    Related
    1.29
    Activations Density 0.018%

    No Known Activations