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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. 4-RES-JB
    11. 4711
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    Explanations

    countries

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "and" in various contexts

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

    No Comments

    Negative Logits
    :(
    -0.82
    emi
    -0.71
    inct
    -0.66
    VALUE
    -0.66
    abuse
    -0.65
    BIL
    -0.65
    anza
    -0.64
    Adapt
    -0.63
    bo
    -0.62
    natureconservancy
    -0.62
    POSITIVE LOGITS
     vice
    0.93
     assorted
    0.84
     consequently
    0.79
     then
    0.76
     adjoining
    0.75
     onwards
    0.74
     other
    0.74
     possibly
    0.73
     hence
    0.72
     affiliated
    0.69
    Activations Density 0.521%

    No Known Activations