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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. 7-RES-JB
    11. 24137
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    Explanations

    proper nouns related to people or organizations

    oai_token-act-pair · gpt-3.5-turbo

    variations of names or entities, particularly associated with a specific individual

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.70
    ocobo
    -0.64
    ograp
    -0.62
     gears
    -0.62
    oshenko
    -0.61
    bourg
    -0.61
    ographers
    -0.60
    chnology
    -0.58
    uania
    -0.58
    sylv
    -0.57
    POSITIVE LOGITS
    ÃĽ
    0.84
    ĪĴ
    0.79
    afia
    0.77
    dash
    0.75
    uration
    0.72
    eki
    0.68
    heid
    0.67
    stract
    0.67
    SourceFile
    0.67
    uary
    0.66
    Activations Density 0.085%

    No Known Activations