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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. 6-RES-JB
    11. 12165
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    Explanations

    words related to specific football clubs and organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific organizations or franchises

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     pestic
    -0.78
    piring
    -0.64
    otrop
    -0.64
    job
    -0.64
    abus
    -0.63
     Hem
    -0.62
     Rohing
    -0.61
    ritis
    -0.61
     Qi
    -0.61
     Pett
    -0.59
    POSITIVE LOGITS
    ILLE
    0.87
    IFIED
    0.78
    NUM
    0.76
    IUM
    0.75
    YA
    0.75
    sburg
    0.75
    ZA
    0.75
    HY
    0.74
    LP
    0.72
    ILA
    0.71
    Activations Density 0.128%

    No Known Activations