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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. 10-RES-JB
    11. 10240
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    INDEX
    Explanations

    discount percentages

    oai_token-act-pair · gpt-3.5-turbo

    percentage discounts or offers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zek
    -0.80
    ciating
    -0.72
    chn
    -0.72
    oust
    -0.67
    ply
    -0.66
    ¯¯
    -0.66
    lete
    -0.65
    lict
    -0.64
    ceived
    -0.61
    etr
    -0.61
    POSITIVE LOGITS
     discount
    1.12
     ABV
    0.99
     discounts
    0.94
     reduction
    0.94
     bonus
    0.92
     royalties
    0.89
     markup
    0.88
     excise
    0.88
     increments
    0.88
     Discount
    0.87
    Activations Density 0.049%

    No Known Activations