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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. 3-RES-JB
    11. 4900
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    Explanations

    keywords related to time markers or temporal sequences

    oai_token-act-pair · gpt-3.5-turbo

    references to timelines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hammad
    -0.90
    iasis
    -0.81
    inence
    -0.81
    otto
    -0.75
    fighting
    -0.75
    ateurs
    -0.75
    yrics
    -0.74
    lu
    -0.72
    ymph
    -0.71
    uster
    -0.71
    POSITIVE LOGITS
     timeline
    1.04
     timelines
    0.89
     Timeline
    0.85
     timeframe
    0.75
     Herz
    0.74
     Remastered
    0.71
     timetable
    0.69
     elapsed
    0.67
     Chron
    0.66
     chron
    0.65
    Activations Density 0.011%

    No Known Activations