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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. 2-RES-JB
    11. 14118
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    Explanations

    topics or categories within the text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of topics or categories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     testament
    -0.77
    aping
    -0.75
    otos
    -0.73
     mete
    -0.70
    oÄŁ
    -0.70
    adic
    -0.70
     promise
    -0.69
    oured
    -0.69
     redemption
    -0.69
    arist
    -0.66
    POSITIVE LOGITS
    Topics
    1.56
    afety
    1.03
    ĸļ
    0.90
    Topic
    0.88
    ICS
    0.85
    matter
    0.80
    natureconservancy
    0.78
     Flavoring
    0.73
    Questions
    0.72
     Topics
    0.72
    Activations Density 0.012%

    No Known Activations