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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. 5105
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    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific entities within the text

    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
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    Negative Logits
     ende
    -0.93
     Paran
    -0.76
     Rite
    -0.74
     Horses
    -0.73
     Hung
    -0.72
     Passage
    -0.72
     Khe
    -0.71
     castles
    -0.71
     Stoke
    -0.71
     Castle
    -0.68
    POSITIVE LOGITS
    ucc
    1.06
    uzz
    1.00
    ucci
    0.97
    lib
    0.85
    iq
    0.83
    api
    0.82
    ib
    0.82
    greg
    0.81
    soType
    0.80
    Doc
    0.80
    Activations Density 0.232%

    No Known Activations