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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. 16339
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    Explanations

    universities or educational institutions by their names

    oai_token-act-pair · gpt-3.5-turbo

    references to universities and geographic locations associated with them

    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
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    Negative Logits
     promoter
    -0.62
    icidal
    -0.61
    asel
    -0.60
    ihadi
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     shutter
    -0.57
     unprotected
    -0.57
     Whats
    -0.57
    acebook
    -0.56
     Archdemon
    -0.56
    opian
    -0.56
    POSITIVE LOGITS
    iffe
    0.67
    nature
    0.63
    ãĤ¦ãĤ¹
    0.61
    ARY
    0.61
    nesota
    0.60
    ocrin
    0.59
    ¢
    0.59
    \\\\\\\\
    0.58
    iversity
    0.58
    pires
    0.58
    Activations Density 0.110%

    No Known Activations