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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. 11019
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    INDEX
    Explanations

    mentions of significant events or incidents

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly periods and semicolons, indicating the end of sentences and thoughts

    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
    imate
    -0.83
    imize
    -0.73
     outwe
    -0.73
     glow
    -0.68
     juice
    -0.68
     minim
    -0.67
    iband
    -0.64
     faire
    -0.63
    mage
    -0.62
    imated
    -0.62
    POSITIVE LOGITS
     Plenty
    0.96
     Earlier
    0.76
     Dozens
    0.76
     Twice
    0.74
     Numerous
    0.74
     Indeed
    0.74
     Thirty
    0.72
     Glob
    0.71
     Several
    0.71
     Heck
    0.70
    Activations Density 0.280%

    No Known Activations