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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. 5703
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    Explanations

    numerical ranges indicating time durations

    oai_token-act-pair · gpt-3.5-turbo

    numerical values, particularly those related to time and quantities

    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
    NAS
    -0.85
    Joy
    -0.77
     Prelude
    -0.73
    gow
    -0.73
    alogy
    -0.72
    iquette
    -0.71
    MSN
    -0.71
    Sin
    -0.70
     Duo
    -0.69
    vale
    -0.69
    POSITIVE LOGITS
     times
    1.04
     dozen
    1.00
     thousand
    0.97
     percent
    0.96
    ths
    0.95
     depending
    0.90
     years
    0.90
     weeks
    0.87
     occasions
    0.87
     inches
    0.86
    Activations Density 0.114%

    No Known Activations