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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. 1440
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    oai_token-act-pair · gpt-3.5-turbo

    phrases encouraging feedback and engagement from the audience

    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
    utical
    -0.78
    Ö
    -0.72
    externalActionCode
    -0.71
    ç¥ŀ
    -0.70
    quickShipAvailable
    -0.70
     telev
    -0.68
     adulthood
    -0.66
    lymp
    -0.65
     Mub
    -0.64
    ufact
    -0.63
    POSITIVE LOGITS
     feedback
    1.55
     suggestions
    1.47
     comments
    1.40
    comments
    1.36
     Feedback
    1.32
     constructive
    1.28
     Comments
    1.20
     critiques
    1.15
     comment
    1.15
     submissions
    1.15
    Activations Density 0.485%

    No Known Activations