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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. 15510
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    Explanations

    mentions of a specific media outlet, "The Daily Beast"

    oai_token-act-pair · gpt-3.5-turbo

    references to "Beast" or "Beauty and the Beast"

    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
    bered
    -0.71
    uting
    -0.67
    arning
    -0.67
    creen
    -0.63
    orsche
    -0.62
     gren
    -0.62
    orescence
    -0.61
     occas
    -0.61
    Äĩ
    -0.61
    aded
    -0.61
    POSITIVE LOGITS
    Beast
    0.86
     Beast
    0.86
    gey
    0.80
     Incarn
    0.79
    chet
    0.76
    master
    0.76
     Burnett
    0.76
    enstein
    0.75
    Tang
    0.75
    ertodd
    0.75
    Activations Density 0.011%

    No Known Activations