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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 17160
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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
     Chun
    -0.85
     Mahjong
    -0.83
     Warner
    -0.69
     Cham
    -0.68
     Lovecraft
    -0.68
     nineteen
    -0.68
     Corrections
    -0.68
     Warden
    -0.67
     surprisingly
    -0.67
     Guardiola
    -0.67
    POSITIVE LOGITS
    _
    1.16
    draw
    1.09
    gotten
    1.09
    anmar
    1.03
    adr
    1.03
    bidden
    1.02
    visible
    1.02
    package
    1.02
    ctors
    1.01
    flo
    1.01
    Activations Density 0.121%

    No Known Activations