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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. 10-RES-JB
    11. 6871
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    Explanations

    dates or timelines expressed in a structured format

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks that indicate the end of sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     digit
    -0.88
     subsidized
    -0.85
     federally
    -0.83
     relig
    -0.82
     polarized
    -0.82
     citiz
    -0.81
     solic
    -0.81
     casc
    -0.81
     catalog
    -0.80
     enriched
    -0.80
    POSITIVE LOGITS
    England
    1.74
    Arsenal
    1.73
    Liverpool
    1.72
    Manchester
    1.57
    Coach
    1.55
    However
    1.55
    Asked
    1.54
    Players
    1.53
    Having
    1.49
    Football
    1.48
    Activations Density 0.189%

    No Known Activations