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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. 9-RES-JB
    11. 18090
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    Explanations

    first items in a series or list

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "First" and related ordinal indicators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vim
    -0.62
    sed
    -0.61
    sav
    -0.60
    gil
    -0.58
    ties
    -0.58
    sung
    -0.57
    nz
    -0.57
     +++
    -0.57
    Explore
    -0.55
    lov
    -0.55
    POSITIVE LOGITS
     responders
    0.89
     baseman
    0.86
     impressions
    0.85
     thing
    0.78
     glance
    0.76
     Corinthians
    0.76
    ly
    0.76
    arily
    0.72
     impression
    0.69
     approximation
    0.66
    Activations Density 0.043%

    No Known Activations