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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 2022
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 's' or related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     promotion
    -0.69
     establishing
    -0.68
     adjustment
    -0.64
     consolidation
    -0.63
     mileage
    -0.62
     consolid
    -0.62
     Welch
    -0.61
     adjusting
    -0.59
     expanding
    -0.59
     fracking
    -0.58
    POSITIVE LOGITS
    arah
    1.05
    anta
    0.97
    amsung
    0.95
    avior
    0.94
    opa
    0.93
    ayers
    0.92
    arnaev
    0.91
    leeve
    0.91
    ouls
    0.91
    Ô
    0.91
    Activations Density 0.045%

    No Known Activations