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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. 11-RES-JB
    11. 4839
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    INDEX
    Explanations

    phrases indicating a strong commitment to a specific goal or purpose

    oai_token-act-pair · gpt-3.5-turbo

    references to quests, missions, or endeavors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agher
    -0.70
    ymm
    -0.66
    asio
    -0.66
    opp
    -0.64
    anooga
    -0.64
    asta
    -0.63
    lement
    -0.62
    amples
    -0.61
    hern
    -0.61
     contexts
    -0.60
    POSITIVE LOGITS
     rampage
    1.12
     pedest
    1.05
     crusade
    0.99
     trajectory
    0.98
     treadmill
    0.97
     leash
    0.96
     bandwagon
    0.95
     spree
    0.94
     merry
    0.92
     diet
    0.91
    Activations Density 0.107%

    No Known Activations