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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. 1317
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    Explanations

    time durations from text

    oai_token-act-pair · gpt-3.5-turbo

    numeric values and time durations

    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
     MacArthur
    -0.69
    esville
    -0.69
     bearer
    -0.65
    llor
    -0.65
     Distribution
    -0.65
    ufact
    -0.64
    regon
    -0.63
     Sever
    -0.62
     purchaser
    -0.62
    rolet
    -0.61
    POSITIVE LOGITS
     seconds
    2.05
    seconds
    1.78
     minutes
    1.74
     milliseconds
    1.68
     Seconds
    1.57
    mins
    1.54
     mins
    1.45
     sec
    1.42
     msec
    1.41
    minute
    1.35
    Activations Density 0.183%

    No Known Activations