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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. 6-RES-JB
    11. 13911
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    Explanations

    references to large amounts of money being spent

    oai_token-act-pair · gpt-3.5-turbo

    monetary amounts and spending-related phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ells
    -0.71
     shores
    -0.69
    oor
    -0.66
    redd
    -0.66
     departures
    -0.62
    edom
    -0.61
    PH
    -0.61
     emergence
    -0.61
    itta
    -0.58
    sup
    -0.58
    POSITIVE LOGITS
     wisely
    1.05
     bucks
    0.87
     frivol
    0.86
     dollars
    0.85
     incarcer
    0.83
     efficiently
    0.81
     unnecessarily
    0.77
     taxpayer
    0.75
    ocating
    0.72
     (£
    0.71
    Activations Density 0.110%

    No Known Activations