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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. 2213
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    Explanations

    numbers related to time durations or quantities

    oai_token-act-pair · gpt-3.5-turbo

    numerical values and quantities related to time and measurements

    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
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    Negative Logits
    elvet
    -0.70
    redit
    -0.60
     downside
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    Reviewer
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     cous
    -0.59
    orem
    -0.59
    ported
    -0.59
    endered
    -0.58
    arde
    -0.57
     label
    -0.57
    POSITIVE LOGITS
     increments
    1.15
     directions
    1.07
     seconds
    1.05
     minutes
    1.02
     places
    1.00
     languages
    0.94
     installments
    0.93
     batches
    0.91
     weeks
    0.91
     Seconds
    0.88
    Activations Density 0.076%

    No Known Activations