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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. 9-RES-JB
    11. 13351
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    Explanations

    words related to sports tournaments

    oai_token-act-pair · gpt-3.5-turbo

    references to competitive events or tournaments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ths
    -0.83
    gap
    -0.70
    hart
    -0.69
    lasses
    -0.66
    ulf
    -0.64
    ocene
    -0.64
    leans
    -0.63
    spell
    -0.62
    pie
    -0.62
    crop
    -0.61
    POSITIVE LOGITS
     organisers
    1.08
     organizers
    1.04
    halla
    0.97
    ournament
    0.97
     tournament
    0.97
     tournaments
    0.94
     organizer
    0.94
     entrants
    0.91
     finals
    0.88
     winners
    0.87
    Activations Density 0.068%

    No Known Activations