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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. 4-RES-JB
    11. 1156
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    Explanations

    numerical values with 'yet' emphasized

    oai_token-act-pair · gpt-3.5-turbo

    references to significant days or events with emphasis on their severity or uniqueness

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

    No Comments

    Negative Logits
    ritz
    -0.86
    ounded
    -0.75
    actionDate
    -0.73
    oute
    -0.72
    rocal
    -0.71
    tnc
    -0.70
    anced
    -0.68
    ouston
    -0.66
     unfocusedRange
    -0.65
    kas
    -0.65
    POSITIVE LOGITS
     imaginable
    1.42
     EVER
    1.19
     ever
    1.13
    ever
    1.03
    Ever
    1.00
     conceivable
    0.96
     possible
    0.95
     Ever
    0.85
     shortest
    0.83
     attain
    0.77
    Activations Density 0.699%

    No Known Activations