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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. 4-RES-JB
    11. 15828
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    INDEX
    Explanations

    occurrences of the word "working on" in sentences

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating ongoing projects or work

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

    No Comments

    Negative Logits
    flies
    -0.77
    few
    -0.73
    Jose
    -0.72
    Champ
    -0.72
    Bey
    -0.72
    Ul
    -0.70
    AAA
    -0.69
    Chel
    -0.67
    ME
    -0.66
    information
    -0.65
    POSITIVE LOGITS
     behalf
    1.42
    eday
    1.09
     weekends
    0.84
     occasion
    0.81
     Saturdays
    0.78
     Sundays
    0.78
    etime
    0.76
     toget
    0.75
     improving
    0.75
     stage
    0.74
    Activations Density 0.090%

    No Known Activations