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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. 3-RES-JB
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    Explanations

    references to numbers, specifically the number "90"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number "90" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lay
    -0.77
    holding
    -0.74
    folk
    -0.73
    Fram
    -0.72
    holder
    -0.71
    stand
    -0.69
    Frameworks
    -0.69
    hammad
    -0.68
    hold
    -0.66
    board
    -0.64
    POSITIVE LOGITS
    %:
    1.06
    %"
    1.01
    °
    1.01
    80
    0.95
    %
    0.95
     ILCS
    0.95
    º
    0.90
    idth
    0.90
     percent
    0.90
     mph
    0.88
    Activations Density 0.032%

    No Known Activations