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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. 802
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    Explanations

    percentage-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to percentages and statistical data

    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
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    No Comments

    Negative Logits
    æ©
    -0.86
    HCR
    -0.84
    GBT
    -0.76
    çīĪ
    -0.75
     compan
    -0.73
    ̶
    -0.71
    ãĥ´ãĤ¡
    -0.70
    åĤ
    -0.69
     redes
    -0.67
     Citiz
    -0.67
    POSITIVE LOGITS
     (%)
    0.93
    umbers
    0.86
    hetical
    0.86
    rate
    0.85
    hetically
    0.80
    age
    0.77
    percent
    0.76
     Percent
    0.73
     percentages
    0.72
     accuracy
    0.71
    Activations Density 0.047%

    No Known Activations