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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
    11. 4197
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    Explanations

    keywords related to the concept of concurrency and an event called "CONCAF Champions League"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to a specific competition or event

    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
    patrick
    -0.85
    hy
    -0.82
    zig
    -0.78
    hig
    -0.75
    bard
    -0.74
    push
    -0.74
    hog
    -0.74
    ted
    -0.74
    weed
    -0.73
    wig
    -0.73
    POSITIVE LOGITS
    urrent
    1.23
    erto
    1.08
    ourse
    0.83
    ourses
    0.83
    ilege
    0.81
    foreseen
    0.80
    erves
    0.79
    ervation
    0.79
    urrency
    0.79
    erve
    0.78
    Activations Density 0.013%

    No Known Activations