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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. 11287
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to the current time or situation

    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
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    Negative Logits
    emale
    -0.69
    arnaev
    -0.62
    ttes
    -0.62
     Hits
    -0.61
     Cosponsors
    -0.61
    azeera
    -0.60
    Maker
    -0.59
     MAS
    -0.59
     Salem
    -0.58
     Sharing
    -0.58
    POSITIVE LOGITS
    endment
    0.67
    abouts
    0.67
     incarnation
    0.66
     unspecified
    0.65
    ogen
    0.65
    uation
    0.62
    ante
    0.61
    uitous
    0.61
    ZI
    0.61
    ury
    0.61
    Activations Density 0.022%

    No Known Activations