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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. 13554
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    oai_token-act-pair · gpt-3.5-turbo

    references to video content or media links

    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
    ium
    -0.74
    iated
    -0.70
    prime
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    bably
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    ucl
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    onto
    -0.67
    EStreamFrame
    -0.66
    icum
    -0.65
    ovie
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    ilipp
    -0.65
    POSITIVE LOGITS
     Also
    0.86
     ALSO
    0.83
    KER
    0.80
     below
    0.79
    dust
    0.78
    ership
    0.76
     ya
    0.76
    KING
    0.76
     whence
    0.74
     pics
    0.71
    Activations Density 0.038%

    No Known Activations