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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. 8-RES-JB
    11. 24120
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    Explanations

    years and dates

    oai_token-act-pair · gpt-3.5-turbo

    dates and specific years in historical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStreamFrame
    -0.60
    iture
    -0.59
     ancest
    -0.59
    olor
    -0.57
    abilia
    -0.56
    worldly
    -0.56
    advertisement
    -0.55
     microscope
    -0.54
    dden
    -0.54
    vec
    -0.52
    POSITIVE LOGITS
     onwards
    1.01
     onward
    0.88
    rosso
    0.71
     thereafter
    0.64
    argo
    0.61
     Lastly
    0.61
    ois
    0.61
    »Ĵ
    0.60
    alli
    0.60
     additionally
    0.58
    Activations Density 0.298%

    No Known Activations