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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. 11-RES-JB
    11. 553
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of singular nouns related to law, personal experiences, and community issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urations
    -0.62
     EVENTS
    -0.60
     Strat
    -0.60
    Ùħ
    -0.60
    IVERS
    -0.59
    UES
    -0.59
    apps
    -0.59
    details
    -0.59
     sorts
    -0.58
     Beaut
    -0.58
    POSITIVE LOGITS
     apiece
    1.27
     per
    1.08
    undred
    0.84
     alone
    0.82
     exception
    0.81
    stroke
    0.79
     each
    0.76
    ousand
    0.70
     altogether
    0.69
     ounce
    0.69
    Activations Density 0.232%

    No Known Activations