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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. 18861
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    Explanations

    names of various people

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals and places

    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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    No Comments

    Negative Logits
    ritch
    -0.67
    ngth
    -0.65
    advertisement
    -0.62
    worldly
    -0.61
    hematically
    -0.60
    URA
    -0.60
    BIL
    -0.58
    iland
    -0.57
    shape
    -0.55
    pter
    -0.55
    POSITIVE LOGITS
    aroo
    0.87
    owitz
    0.68
    dinand
    0.68
    levard
    0.67
    zon
    0.66
    ĵĺ
    0.66
    oola
    0.66
    zona
    0.64
     soap
    0.63
     Admission
    0.62
    Activations Density 0.083%

    No Known Activations