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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. 10805
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    Explanations

    references to quantities or amounts

    oai_token-act-pair · gpt-3.5-turbo

    references to quantities or counts of entities

    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
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    Negative Logits
    axter
    -0.68
    aimon
    -0.67
     Despair
    -0.64
    inka
    -0.62
    INTON
    -0.62
    inelli
    -0.61
     appre
    -0.60
    robe
    -0.60
     Directorate
    -0.60
    IAL
    -0.60
    POSITIVE LOGITS
    plates
    0.86
     of
    0.83
    enance
    0.76
    plate
    0.72
    metry
    0.70
    ginx
    0.67
     crunch
    0.67
    number
    0.67
     numbers
    0.66
    Of
    0.65
    Activations Density 0.047%

    No Known Activations