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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. 12-RES-JB
    11. 4986
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    Explanations

    French phrases related to responsibility and informative content

    oai_token-act-pair · gpt-3.5-turbo
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    phrases related to responsibility and ethical considerations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Koreans
    -0.73
     Uzbek
    -0.67
     Flake
    -0.66
     Rohingya
    -0.65
    owing
    -0.59
     Hyundai
    -0.58
    WT
    -0.57
    HB
    -0.56
     Ethiopian
    -0.56
     Indonesian
    -0.56
    POSITIVE LOGITS
     qui
    1.11
     une
    1.09
     Ãł
    1.09
     les
    1.06
     pour
    1.06
     aux
    1.01
     au
    1.01
     dé
    0.98
     ensu
    0.96
     ré
    0.95
    Activations Density 0.080%

    No Known Activations