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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. 7-RES-JB
    11. 235
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    Explanations

    specific durations of time in the format of hours and minutes

    oai_token-act-pair · gpt-3.5-turbo

    time durations and associated units of measurement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tnc
    -0.79
    éĥ
    -0.76
    edu
    -0.75
     Mechdragon
    -0.71
    è£ħ
    -0.70
     Sovere
    -0.68
    irie
    -0.68
    guard
    -0.65
    bard
    -0.65
    ibia
    -0.65
    POSITIVE LOGITS
     intervals
    0.79
     minutes
    0.79
     elapsed
    0.78
     msec
    0.76
     hrs
    0.76
     stopp
    0.74
     seconds
    0.74
     duration
    0.72
     dedicated
    0.70
     commute
    0.70
    Activations Density 0.198%

    No Known Activations