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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. 7936
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
     unwanted
    -0.77
    oe
    -0.70
    onite
    -0.67
    Ń·
    -0.66
    vier
    -0.63
     fatig
    -0.60
    iera
    -0.56
    ardon
    -0.56
     SERV
    -0.55
    pread
    -0.55
    POSITIVE LOGITS
    TPS
    0.78
    eous
    0.76
     Cheong
    0.75
     ARTICLE
    0.72
     largeDownload
    0.71
     onwards
    0.69
     ,
    0.68
    REDACTED
    0.67
    *)
    0.66
     Ibid
    0.66
    Activations Density 0.042%

    No Known Activations