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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. 3-RES-JB
    11. 12107
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    Explanations

    proper nouns related to Chinese culture

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Ming."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ICE
    -0.77
    skirts
    -0.72
     SPORTS
    -0.70
     ãĤµ
    -0.67
    ihar
    -0.67
    Ö¼
    -0.67
    IDER
    -0.67
    ICES
    -0.66
    IFE
    -0.64
    profit
    -0.64
    POSITIVE LOGITS
     Ming
    1.17
    aret
    1.00
     Doodle
    0.98
    ept
    0.93
    jiang
    0.92
    olin
    0.86
    hua
    0.84
     Cheong
    0.84
    eer
    0.84
     tong
    0.80
    Activations Density 0.010%

    No Known Activations