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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    references to extremely large numbers, specifically in the trillions

    oai_token-act-pair · gpt-3.5-turbo

    references to monetary values in trillions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lyn
    -0.74
     Mat
    -0.70
     Ale
    -0.68
     Stall
    -0.67
     Att
    -0.67
     Gast
    -0.66
    fest
    -0.66
     Portland
    -0.63
     Porter
    -0.62
     Pul
    -0.62
    POSITIVE LOGITS
     trillion
    3.70
     trillions
    2.60
     billion
    2.20
    billion
    1.90
     Billion
    1.77
     billions
    1.74
    tn
    1.45
    illions
    1.40
    bn
    1.36
     lakh
    1.30
    Activations Density 0.013%

    No Known Activations