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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. 1-RES-JB
    11. 8558
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    Explanations

    The neuron primarily looks for mentions of specific football player names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, particularly athletes and personalities associated with sports and video games

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iminary
    -0.90
    chens
    -0.79
    anamo
    -0.77
    culosis
    -0.76
    aukee
    -0.74
    cule
    -0.71
    wer
    -0.70
     Twain
    -0.70
    hran
    -0.70
    perial
    -0.69
    POSITIVE LOGITS
    stocks
    0.92
    adden
    0.91
     Reggie
    0.89
    encers
    0.80
    inho
    0.74
    Scope
    0.72
     Blaz
    0.70
    tree
    0.70
    PET
    0.69
    ISO
    0.68
    Activations Density 0.013%

    No Known Activations