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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. 8-RES-JB
    11. 22548
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    Explanations

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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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ction
    -0.66
     seiz
    -0.65
     Glacier
    -0.64
     Slug
    -0.64
    AAF
    -0.60
     Passage
    -0.58
    agall
    -0.58
    icks
    -0.58
     shelf
    -0.57
     Gael
    -0.57
    POSITIVE LOGITS
    cause
    0.91
    then
    0.87
    shall
    0.86
    nown
    0.84
    which
    0.83
    said
    0.80
    _>
    0.80
    according
    0.79
    including
    0.78
    sed
    0.77
    Activations Density 0.267%

    No Known Activations