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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. 13990
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    Explanations

    keywords related to volume, such as "volume rock" or "measuring volume"

    oai_token-act-pair · gpt-3.5-turbo

    contexts related to "volume" in various forms, indicating a focus on quantities or measurements

    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
    artisan
    -0.77
     Pearce
    -0.75
    lez
    -0.73
    generic
    -0.73
    mond
    -0.72
    inally
    -0.70
    icial
    -0.69
    zona
    -0.67
    sight
    -0.67
    roit
    -0.65
    POSITIVE LOGITS
     discounts
    1.00
     volumes
    0.85
    umes
    0.85
     knob
    0.79
     volume
    0.78
     quota
    0.70
     fluctuations
    0.70
     quantities
    0.70
     quotas
    0.70
    Cass
    0.69
    Activations Density 0.037%

    No Known Activations