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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. 22258
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    Explanations

    time durations and measurements

    oai_token-act-pair · gpt-3.5-turbo

    durations of time mentioned in the text

    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
    chuk
    -0.70
    ãĤ¨ãĥ«
    -0.68
    2012
    -0.67
    2011
    -0.66
    brow
    -0.65
    ufact
    -0.63
    phabet
    -0.63
    ranch
    -0.63
    2016
    -0.63
    consumer
    -0.62
    POSITIVE LOGITS
     seconds
    1.45
     minutes
    1.41
     moments
    1.25
    seconds
    1.25
     minute
    1.22
     Seconds
    1.19
     milliseconds
    1.14
     mins
    1.12
     hour
    1.09
     fifteen
    1.08
    Activations Density 0.205%

    No Known Activations