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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. 12-RES-JB
    11. 5008
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    INDEX
    Explanations

    words related to schedules and time

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    phrases related to initial actions or beginnings

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Quarterly
    -0.65
     notorious
    -0.62
     surv
    -0.56
     Bachelor
    -0.55
     Woods
    -0.55
     Bash
    -0.54
     Aval
    -0.53
     Gang
    -0.53
     Madness
    -0.51
     heaviest
    -0.51
    POSITIVE LOGITS
    nings
    1.02
    rek
    0.96
    ribune
    0.95
    ups
    0.93
    date
    0.90
    up
    0.87
    ners
    0.80
    ling
    0.80
    cius
    0.79
     date
    0.79
    Activations Density 0.048%

    No Known Activations