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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. 3-RES-JB
    11. 8819
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    Explanations

    references to sports tournaments

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "tournament."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ths
    -0.84
    hart
    -0.75
    alez
    -0.64
    tesy
    -0.63
    drawn
    -0.63
    omething
    -0.62
     Helpful
    -0.61
    ï¸
    -0.61
     embr
    -0.60
    igree
    -0.60
    POSITIVE LOGITS
     tournament
    0.91
     tournaments
    0.89
    ournament
    0.89
    eers
    0.86
     Tournament
    0.84
     organisers
    0.84
    halla
    0.83
     organizers
    0.78
    IFIED
    0.73
     organizer
    0.72
    Activations Density 0.014%

    No Known Activations