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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
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    Explanations

    references to the term "Legion."

    oai_token-act-pair · gpt-3.5-turbo

    the term "Legion" and its variations in different 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
    ramid
    -0.78
    ahn
    -0.71
    sweet
    -0.71
     proble
    -0.68
    fram
    -0.65
    mitt
    -0.64
     straw
    -0.63
    gets
    -0.63
     CHO
    -0.62
     cane
    -0.61
    POSITIVE LOGITS
    naire
    1.88
    naires
    1.72
     Legion
    1.04
    esses
    0.80
    arium
    0.79
    aires
    0.76
    icum
    0.76
    arily
    0.76
    atus
    0.75
     Corps
    0.73
    Activations Density 0.007%

    No Known Activations