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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. 13834
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    oai_token-act-pair · gpt-3.5-turbo

    references to lists and enumerations

    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
     Aber
    -0.77
    selves
    -0.66
     Advantage
    -0.62
     Huck
    -0.57
     stride
    -0.57
     Drift
    -0.56
     Depths
    -0.56
     Monstrous
    -0.55
     Oval
    -0.54
     bip
    -0.54
    POSITIVE LOGITS
    erv
    1.06
    icles
    0.95
    icle
    0.95
    ening
    0.86
    ener
    0.84
     of
    0.84
     comprehens
    0.82
    lists
    0.80
    enhagen
    0.80
    enable
    0.80
    Activations Density 0.069%

    No Known Activations