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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. 1406
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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
    ajor
    -0.74
    hest
    -0.73
    ruly
    -0.67
    icent
    -0.64
    ublic
    -0.64
    arton
    -0.63
    erville
    -0.62
    va
    -0.61
     ®
    -0.61
    roit
    -0.61
    POSITIVE LOGITS
     combinations
    1.04
     iterations
    1.04
     acron
    1.04
     configurations
    0.95
     different
    0.94
     menus
    0.93
     various
    0.93
     frantically
    0.92
     tutorials
    0.91
     setups
    0.90
    Activations Density 0.572%

    No Known Activations