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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. 4-RES-JB
    11. 22640
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    Explanations

    references to sports tournaments

    oai_token-act-pair · gpt-3.5-turbo

    mentions of tournaments and competitive events

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

    No Comments

    Negative Logits
    ths
    -0.84
    hart
    -0.70
    ï¸
    -0.65
     Helpful
    -0.64
    omething
    -0.64
    ï¸ı
    -0.63
    uscript
    -0.62
    drawn
    -0.62
     Matter
    -0.62
    vae
    -0.61
    POSITIVE LOGITS
    ournament
    0.93
     tournaments
    0.92
     tournament
    0.90
     organisers
    0.82
    halla
    0.79
     Tournament
    0.77
    eers
    0.77
     organizers
    0.77
    IFIED
    0.73
    ournaments
    0.72
    Activations Density 0.015%

    No Known Activations