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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. 2-RES-JB
    11. 786
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    Explanations

    the word "tournament"

    oai_token-act-pair · gpt-4-turbo

    information related to sports tournaments

    oai_token-act-pair · gpt-3.5-turbo

    references to tournaments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ths
    -0.90
    hart
    -0.77
    ourke
    -0.72
    gone
    -0.71
    drawn
    -0.70
    iple
    -0.69
    thening
    -0.66
    gans
    -0.64
    gap
    -0.64
     Matter
    -0.63
    POSITIVE LOGITS
     tournament
    1.09
     tournaments
    0.96
    ournament
    0.96
     Tournament
    0.90
     organizers
    0.81
     organizer
    0.81
    eers
    0.81
     organisers
    0.81
    halla
    0.79
     Finals
    0.75
    Activations Density 0.010%

    No Known Activations