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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. 10309
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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
    senal
    -0.79
     eleph
    -0.69
     practition
    -0.69
    oreAnd
    -0.62
     oun
    -0.60
     exting
    -0.56
    ortunately
    -0.56
     cosmetic
    -0.56
     substitutes
    -0.54
    quartered
    -0.54
    POSITIVE LOGITS
    /_
    1.03
    \/
    0.82
    /#
    0.78
    /)
    0.76
    /?
    0.75
    /
    0.75
    /-
    0.73
    ua
    0.71
    vered
    0.71
    //
    0.70
    Activations Density 0.022%

    No Known Activations