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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. 7-RES-JB
    11. 19487
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    Explanations

    references to legal or financial terms, specifically related to seeking or awarding damages

    oai_token-act-pair · gpt-3.5-turbo

    references to monetary compensation or damages in legal contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    unin
    -0.83
    population
    -0.77
     livest
    -0.74
    STER
    -0.72
     Scouting
    -0.69
    KER
    -0.68
     Clubs
    -0.66
    tz
    -0.65
    GBT
    -0.64
    cular
    -0.64
    POSITIVE LOGITS
     damages
    1.14
     payout
    0.87
     payable
    0.85
     incurred
    0.83
     arising
    0.82
     restitution
    0.81
     totaling
    0.81
    uit
    0.80
     attorney
    0.79
     awarded
    0.79
    Activations Density 0.032%

    No Known Activations