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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. 8421
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to sources or citations

    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
    eg
    -0.79
    oÄŁ
    -0.73
    interstitial
    -0.70
    each
    -0.70
    ignt
    -0.68
    estern
    -0.66
    psey
    -0.65
    gettable
    -0.63
     mosqu
    -0.63
     transition
    -0.62
    POSITIVE LOGITS
    Forge
    1.05
    Fed
    1.01
    forge
    0.88
    books
    0.84
     Sources
    0.77
    book
    0.76
    finder
    0.72
     Source
    0.71
     Citation
    0.70
    Fair
    0.69
    Activations Density 0.020%

    No Known Activations