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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. 1-RES-JB
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    Explanations

    mentions of large quantities of something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "thousands"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    swick
    -0.67
    verages
    -0.65
     symmetry
    -0.64
    bones
    -0.63
    bid
    -0.63
    cer
    -0.63
    aign
    -0.63
    position
    -0.62
    heim
    -0.61
    mentioned
    -0.60
    POSITIVE LOGITS
     thousands
    1.10
     millions
    0.97
    ousands
    0.95
     Thousands
    0.95
     ILCS
    0.94
    Thousands
    0.90
     billions
    0.86
     tens
    0.85
     Millions
    0.82
     yards
    0.79
    Activations Density 0.011%

    No Known Activations