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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. 24165
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    INDEX
    Explanations

    proper nouns starting with "Br" and referencing various entities

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Br" across various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.69
    eers
    -0.64
    WARE
    -0.63
     AMERICA
    -0.63
     Contra
    -0.63
     FTA
    -0.62
    NESS
    -0.61
    rers
    -0.61
    ei
    -0.60
     Relief
    -0.59
    POSITIVE LOGITS
    atton
    1.42
    acket
    1.38
    anches
    1.37
    onson
    1.29
    ackets
    1.27
    idget
    1.23
    anded
    1.21
    addock
    1.19
    anca
    1.18
    anson
    1.16
    Activations Density 0.023%

    No Known Activations