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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 18087
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    Explanations

    references to particular sections in a text structure

    oai_token-act-pair · gpt-3.5-turbo

    references to ongoing stories or narratives in a document

    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
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    No Comments

    Negative Logits
    »Ĵ
    -0.74
    ŃĶ
    -0.63
     fame
    -0.62
    ibilities
    -0.61
    «ĺ
    -0.60
     abstinence
    -0.59
    eco
    -0.58
    Ĥ¬
    -0.57
    uits
    -0.57
    DEM
    -0.56
    POSITIVE LOGITS
     Continued
    0.86
    tenance
    0.77
     caption
    0.71
    hart
    0.70
    telling
    0.68
     Trend
    0.63
    "></
    0.62
    advertisement
    0.62
    biz
    0.62
    line
    0.62
    Activations Density 0.008%

    No Known Activations