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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. 21486
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    negative numeric values or references to low scores

    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
     bun
    -0.65
    姫
    -0.61
     unequ
    -0.61
     Lutheran
    -0.59
     swing
    -0.58
     franc
    -0.58
     striking
    -0.57
    alam
    -0.57
    gypt
    -0.56
     Trin
    -0.56
    POSITIVE LOGITS
    dden
    0.79
    ima
    0.73
    Shift
    0.72
    itiveness
    0.69
    sum
    0.67
    ippi
    0.66
    limit
    0.65
    igue
    0.65
    glers
    0.65
    0
    0.65
    Activations Density 0.056%

    No Known Activations