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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. 1-RES-JB
    11. 11337
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    Explanations

    numerical values indicating step-by-step instructions or procedures

    oai_token-act-pair · gpt-3.5-turbo

    instances of numerical measurements or quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lumpur
    -0.87
    awaru
    -0.80
    ierrez
    -0.72
    rolet
    -0.70
    folk
    -0.68
    isoft
    -0.66
     hygiene
    -0.66
    ategory
    -0.63
     roofs
    -0.62
    otiation
    -0.62
    POSITIVE LOGITS
    Password
    1.20
    120
    1.09
    125
    1.07
    ½
    1.05
    st
    1.00
    ï¸ı
    0.90
    000000
    0.89
    128
    0.89
    âĢ¢âĢ¢
    0.87
    âģ
    0.86
    Activations Density 0.066%

    No Known Activations