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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. 7895
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    uez
    -0.80
    Ô
    -0.76
    thodox
    -0.71
    ional
    -0.71
    <<
    -0.69
     Kham
    -0.67
    ============
    -0.67
     Hodg
    -0.66
    thritis
    -0.64
    ========
    -0.63
    POSITIVE LOGITS
     computing
    1.17
    burst
    1.13
     Computing
    0.88
    front
    0.84
     storage
    0.83
     compute
    0.82
    iness
    0.79
    fl
    0.79
    buster
    0.78
    tops
    0.78
    Activations Density 0.019%

    No Known Activations