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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. 6-RES-JB
    11. 17660
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    Explanations

    questions being asked or mentioned in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to asking questions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    argon
    -0.67
     quotation
    -0.65
    cknow
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    enne
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     contingency
    -0.59
     spons
    -0.59
    itten
    -0.58
    stood
    -0.58
    alin
    -0.57
    gel
    -0.57
    POSITIVE LOGITS
     whilst
    0.87
     efficiently
    0.81
    enium
    0.80
     wisely
    0.80
     onstage
    0.79
     responsibly
    0.79
     abroad
    0.78
     outdoors
    0.77
     while
    0.75
     concurrently
    0.75
    Activations Density 0.567%

    No Known Activations