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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. 4-RES-JB
    11. 623
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    oai_token-act-pair · gpt-3.5-turbo

    advice or recommendations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Chal
    -0.82
     Gim
    -0.69
     TRE
    -0.69
     Vil
    -0.69
     Kyr
    -0.68
    uable
    -0.67
     Amen
    -0.67
     Transmission
    -0.65
     Err
    -0.63
     Bam
    -0.63
    POSITIVE LOGITS
    axter
    0.95
    worldly
    0.82
    foundland
    0.78
    */(
    0.74
    lington
    0.73
    Untitled
    0.71
    alysed
    0.71
    nces
    0.70
    )=(
    0.70
    ascript
    0.69
    Activations Density 0.000%

    No Known Activations