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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. 10-RES-JB
    11. 4801
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    INDEX
    Explanations

    time-related descriptions, such as durations and timeframes

    oai_token-act-pair · gpt-3.5-turbo

    cooking times and durations in recipes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    artisan
    -0.77
     reformed
    -0.66
    ranch
    -0.65
    brow
    -0.63
    abase
    -0.61
     homegrown
    -0.61
     precedent
    -0.60
     cornerstone
    -0.60
     Spoiler
    -0.60
     domestically
    -0.58
    POSITIVE LOGITS
     minutes
    1.30
     hour
    1.23
     hours
    1.20
     hrs
    1.14
     seconds
    1.13
    hours
    1.12
     mins
    1.08
     minute
    1.07
    seconds
    1.05
    minute
    1.03
    Activations Density 0.167%

    No Known Activations