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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. 24107
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     ply
    -0.73
     screenings
    -0.71
     bounce
    -0.71
     aud
    -0.69
     divers
    -0.69
     reception
    -0.66
     moder
    -0.66
     knit
    -0.66
     ssh
    -0.65
     manned
    -0.65
    POSITIVE LOGITS
    ebook
    1.39
    dust
    1.08
    chance
    1.07
    pill
    0.99
    tro
    0.98
    sun
    0.96
    Main
    0.95
    vs
    0.95
    must
    0.94
    pillar
    0.93
    Activations Density 0.019%

    No Known Activations