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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. 8-RES-JB
    11. 2456
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    Explanations

    words related to sports teams or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ously
    -0.83
    ĺħ
    -0.81
    ibrary
    -0.75
    oscope
    -0.71
    ocene
    -0.67
     dams
    -0.64
    osc
    -0.64
     plague
    -0.64
    tumblr
    -0.63
    itures
    -0.63
    POSITIVE LOGITS
    mates
    1.29
    mate
    1.07
    liquid
    1.04
    sters
    1.00
    Liquid
    0.97
     Fortress
    0.92
     mates
    0.91
     Solo
    0.87
     Dign
    0.87
     Rocket
    0.87
    Activations Density 0.055%

    No Known Activations