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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. 8328
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    INDEX
    Explanations

    mentions of time durations expressed in minutes and seconds

    oai_token-act-pair · gpt-3.5-turbo

    timestamps and time-related phrases

    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
    ufact
    -0.79
    agate
    -0.74
    cot
    -0.73
    vier
    -0.69
    regon
    -0.68
    abase
    -0.67
    urers
    -0.66
    reviewed
    -0.65
    wordpress
    -0.65
     paradise
    -0.64
    POSITIVE LOGITS
     seconds
    1.91
     minutes
    1.55
    seconds
    1.55
     Seconds
    1.51
     moments
    1.47
     minute
    1.44
    minute
    1.41
     milliseconds
    1.41
     millisec
    1.34
     Moments
    1.25
    Activations Density 0.665%

    No Known Activations