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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. 24461
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    Explanations

    interrogative sentences ending with question marks

    oai_token-act-pair · gpt-3.5-turbo

    questions in the text

    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
     affili
    -0.73
    ·
    -0.72
    oji
    -0.69
    amen
    -0.68
    mental
    -0.66
    anship
    -0.64
    Ĥª
    -0.63
    lia
    -0.62
     enriched
    -0.62
    ¾
    -0.62
    POSITIVE LOGITS
     asked
    1.25
     asks
    1.24
     inquired
    1.20
     Asked
    1.07
     exclaimed
    0.97
     rhet
    0.95
     demanded
    0.95
     quer
    0.89
     enqu
    0.86
     Questions
    0.85
    Activations Density 0.065%

    No Known Activations