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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. 11-RES-JB
    11. 905
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    INDEX
    Explanations

    instances of the word "exercise"

    oai_token-act-pair · gpt-3.5-turbo

    the prefix "ex" in various forms across the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sawyer
    -0.74
    æĸ
    -0.68
     beginnings
    -0.62
     edges
    -0.61
     valuation
    -0.60
    estone
    -0.56
     initiation
    -0.56
     AFB
    -0.56
     premiums
    -0.55
    è£
    -0.55
    POSITIVE LOGITS
    haust
    1.52
    cellent
    1.48
    cerpt
    1.48
    actly
    1.47
    posure
    1.46
    pecting
    1.46
    pert
    1.45
    ercise
    1.45
    pect
    1.42
    terior
    1.41
    Activations Density 0.021%

    No Known Activations