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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. 11-RES-JB
    11. 21443
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    actions related to management, maintenance, and sustainability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imura
    -0.75
    swick
    -0.68
    chev
    -0.67
    drawn
    -0.65
     AND
    -0.65
    and
    -0.63
    adelphia
    -0.63
    culation
    -0.62
     et
    -0.62
    ãĥĩãĤ£
    -0.61
    POSITIVE LOGITS
     alike
    1.49
     respectively
    0.97
     portions
    0.79
     aspects
    0.69
     depending
    0.67
     accordingly
    0.66
     these
    0.66
     each
    0.60
     various
    0.60
     simultaneously
    0.59
    Activations Density 0.236%

    No Known Activations