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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. 9-RES-JB
    11. 17460
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    Explanations

    titles or captions related to video content

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to violence or accidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     analys
    -0.66
    Newsletter
    -0.63
     obliged
    -0.62
     analysed
    -0.61
     forgotten
    -0.61
     controvers
    -0.60
     onwards
    -0.60
    itatively
    -0.59
    warts
    -0.59
    Reviewer
    -0.58
    POSITIVE LOGITS
    INGTON
    0.94
     COUNTY
    0.92
    ampa
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    CLE
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     CITY
    0.88
    GREEN
    0.87
    COL
    0.85
    CHAR
    0.82
    ALE
    0.80
    WOOD
    0.78
    Activations Density 0.096%

    No Known Activations