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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. 2-RES-JB
    11. 18575
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    Explanations

    proper nouns, especially names of people

    oai_token-act-pair · gpt-3.5-turbo

    prominent names and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Morty
    -0.61
     fixme
    -0.57
    rawdownloadcloneembedreportprint
    -0.57
    tackle
    -0.55
     Chak
    -0.55
    bleacher
    -0.53
    EStreamFrame
    -0.53
    EStream
    -0.53
     Dragonbound
    -0.51
    imity
    -0.49
    POSITIVE LOGITS
     Citiz
    0.63
    querque
    0.56
     advoc
    0.53
    conservancy
    0.52
     redes
    0.51
    ĩ
    0.50
    °
    0.50
     upgr
    0.50
    ©¶æ
    0.49
    ¹
    0.49
    Activations Density 2.767%

    No Known Activations