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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. 9-RES-JB
    11. 18554
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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 @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ortium
    -0.73
    EStream
    -0.69
    bilt
    -0.66
     Send
    -0.66
     scatter
    -0.66
     anecd
    -0.65
    creen
    -0.65
    anwhile
    -0.65
     Incarn
    -0.64
     scattering
    -0.64
    POSITIVE LOGITS
    ¡
    1.35
    ¦
    1.29
    ¬
    1.24
    ľ
    1.23
    Ĵ
    1.20
    ĸ
    1.20
    ĵ
    1.15
    ı
    1.12
    ĭ
    1.11
    į
    1.10
    Activations Density 0.210%

    No Known Activations