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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. 8-RES-JB
    11. 4881
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    Explanations

    time-related references specifically indicating the future

    oai_token-act-pair · gpt-3.5-turbo

    references to future events or time indicators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    baugh
    -0.77
     Feldman
    -0.72
    ocker
    -0.70
    ordes
    -0.70
    enance
    -0.66
    hess
    -0.65
    cks
    -0.63
    kson
    -0.63
    bred
    -0.62
    lees
    -0.62
    POSITIVE LOGITS
     week
    1.12
     month
    1.05
     year
    0.95
     semester
    0.92
    ĻĤ
    0.88
     door
    0.85
     yr
    0.79
    door
    0.79
     Month
    0.79
     decade
    0.78
    Activations Density 0.037%

    No Known Activations