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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. 4877
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    INDEX
    Explanations

    phrases related to deadlines and time frames

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

    references to deadlines and time constraints

    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
    ateur
    -0.82
    vol
    -0.76
    ¬¼
    -0.73
    ahar
    -0.73
    anooga
    -0.73
     coh
    -0.71
    agi
    -0.69
    ij士
    -0.68
    Vol
    -0.67
    ateurs
    -0.66
    POSITIVE LOGITS
     deadline
    1.07
     looming
    1.05
     looms
    1.00
     expired
    0.98
     expires
    0.97
     date
    0.96
     midnight
    0.95
     coincides
    0.91
     ticking
    0.88
     deadlines
    0.86
    Activations Density 0.152%

    No Known Activations