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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. 11-RES-JB
    11. 121
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    Explanations

    time-related terms and durations

    oai_token-act-pair · gpt-3.5-turbo

    references to time periods and durations in days or years

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    esta
    -0.66
    bent
    -0.64
     Fountain
    -0.63
    united
    -0.62
    rote
    -0.59
    kiss
    -0.58
    offic
    -0.56
    BALL
    -0.56
     torches
    -0.54
     Moons
    -0.54
    POSITIVE LOGITS
     intervals
    1.04
     duration
    1.01
     increments
    0.94
     elapsed
    0.93
     validity
    0.93
     notice
    0.85
     maximum
    0.84
     thereafter
    0.84
     interval
    0.83
     gestation
    0.83
    Activations Density 0.094%

    No Known Activations