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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. 7-RES-JB
    11. 14135
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    INDEX
    Explanations

    times expressed in a specific format, specifically in afternoon and evening hours

    oai_token-act-pair · gpt-3.5-turbo

    time-related information and numerical values

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    went
    -0.74
    zar
    -0.71
     Prelude
    -0.68
    Word
    -0.60
     Sketch
    -0.60
    chart
    -0.59
    sth
    -0.58
    gone
    -0.58
     Portug
    -0.58
    ËĪ
    -0.56
    POSITIVE LOGITS
    depending
    1.63
     depending
    1.45
     respectively
    1.29
     alike
    0.84
    undai
    0.84
     inclusive
    0.81
    ngth
    0.69
     carbohyd
    0.68
    ailability
    0.67
    awaru
    0.67
    Activations Density 0.238%

    No Known Activations