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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. 9-RES-JB
    11. 15093
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    Explanations

    the name "Kay" with different variations and contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific individual named Kay

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    urally
    -0.83
     atmosp
    -0.70
     mund
    -0.68
    pection
    -0.67
     Inquis
    -0.66
    nesota
    -0.64
    naires
    -0.64
    urgy
    -0.64
     aver
    -0.63
     sequ
    -0.61
    POSITIVE LOGITS
    leigh
    1.13
    la
    1.11
    von
    1.04
    den
    1.03
    aking
    0.98
    ak
    0.93
    lee
    0.93
    yah
    0.91
    len
    0.89
    Kay
    0.89
    Activations Density 0.039%

    No Known Activations