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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. 19432
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    INDEX
    Explanations

    conclusions or related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to conclusions or the process of drawing conclusions

    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
    ophon
    -0.75
    amen
    -0.72
     nas
    -0.70
    maid
    -0.68
    bid
    -0.66
    cler
    -0.66
     Leban
    -0.64
    bey
    -0.61
    conservancy
    -0.61
     talents
    -0.61
    POSITIVE LOGITS
     conclusion
    0.86
     conclusions
    0.83
    lessly
    0.80
    igmatic
    0.73
    éĸ
    0.72
    20439
    0.72
     regarding
    0.71
    naire
    0.71
    ively
    0.70
    abl
    0.70
    Activations Density 0.025%

    No Known Activations