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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. 10-RES-JB
    11. 7213
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    INDEX
    Explanations

    prominent or influential individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to influential individuals and officials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Odyssey
    -0.74
    dule
    -0.73
    ãĥij
    -0.69
     Wonderland
    -0.66
    ãĥ¥
    -0.66
    oise
    -0.63
    arcity
    -0.61
    avery
    -0.61
    =#
    -0.60
     mosa
    -0.59
    POSITIVE LOGITS
    hips
    1.12
     whom
    1.00
     who
    0.98
     alike
    0.97
     interviewed
    0.96
    paces
    0.91
     testifying
    0.89
     resigned
    0.88
     assassinated
    0.87
     including
    0.87
    Activations Density 0.263%

    No Known Activations