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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. 22445
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    Explanations

    the names of academic institutions

    oai_token-act-pair · gpt-3.5-turbo

    names of universities or educational institutions

    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
    ttle
    -0.68
    .$
    -0.62
    retty
    -0.62
    rak
    -0.61
    .—
    -0.59
    ._
    -0.58
    parts
    -0.58
     incidentally
    -0.57
    usting
    -0.57
     att
    -0.56
    POSITIVE LOGITS
    Cro
    0.67
    xual
    0.66
     hydra
    0.62
     Dominion
    0.61
     Byz
    0.61
     Golem
    0.61
     Falk
    0.60
     Gamb
    0.60
     Computer
    0.60
     Fishing
    0.59
    Activations Density 0.221%

    No Known Activations