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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. 4839
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    Explanations

    numerical quantities, specifically involving counts or sequences

    oai_token-act-pair · gpt-3.5-turbo

    references to specific quantities or numbers

    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
    Not in Any Lists

    No Comments

    Negative Logits
     srfAttach
    -0.73
    TextColor
    -0.71
    acus
    -0.63
     Changed
    -0.63
    still
    -0.63
    HY
    -0.63
    romising
    -0.62
     unfocusedRange
    -0.60
    cipled
    -0.58
    BIL
    -0.58
    POSITIVE LOGITS
     chapters
    1.18
     stages
    1.14
     digits
    1.12
     paragraphs
    1.09
     installments
    1.08
     phases
    1.04
     editions
    1.03
     rows
    1.01
     iterations
    1.01
     episodes
    1.01
    Activations Density 0.081%

    No Known Activations