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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. 2-RES-JB
    11. 6840
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    Explanations

    phrases emphasizing the connection or relationship between individuals

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions, specifically the word "and."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    éŃĶ
    -0.73
    Sup
    -0.68
    SPA
    -0.66
    è»
    -0.66
    atten
    -0.66
     Powered
    -0.66
    Ĥİ
    -0.65
    Deal
    -0.62
    conduct
    -0.60
    ADVERTISEMENT
    -0.59
    POSITIVE LOGITS
     therefore
    1.04
     then
    1.00
     consequently
    1.00
    rogen
    0.98
     thus
    0.93
     maybe
    0.90
     hence
    0.90
    romeda
    0.88
    rogens
    0.85
     hopefully
    0.85
    Activations Density 1.007%

    No Known Activations