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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. 3269
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    Explanations

    proper nouns, specifically the name "Mark."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Mark."

    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
    é¾
    -0.73
    女
    -0.72
    urses
    -0.72
    committee
    -0.71
     decomp
    -0.71
     adolesc
    -0.70
     nerv
    -0.69
    ught
    -0.68
    Interstitial
    -0.68
     Pradesh
    -0.66
    POSITIVE LOGITS
     Twain
    1.07
    edly
    0.92
    emark
    0.91
     Zuckerberg
    0.91
    down
    0.89
    mark
    0.88
    eting
    0.87
     Mark
    0.85
    marks
    0.82
    ipl
    0.82
    Activations Density 0.014%

    No Known Activations