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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. 10185
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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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    Negative Logits
    ryu
    -0.69
    gypt
    -0.66
    merce
    -0.61
    PF
    -0.60
    Ku
    -0.58
    ington
    -0.58
    cock
    -0.58
    waters
    -0.57
    perse
    -0.57
    sie
    -0.56
    POSITIVE LOGITS
    ardless
    0.70
    ̶
    0.63
    istration
    0.63
     mathemat
    0.62
    ãĥĺ
    0.62
    ottesville
    0.60
     Dare
    0.58
    andise
    0.57
    agne
    0.57
     Mandatory
    0.57
    Activations Density 0.308%

    No Known Activations