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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. 5331
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    Explanations

    specific time durations in the format of hours and minutes

    oai_token-act-pair · gpt-3.5-turbo

    specific time durations and related measurements

    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
    itized
    -0.69
    heim
    -0.69
    DragonMagazine
    -0.69
    arro
    -0.68
    itiz
    -0.65
    keye
    -0.63
    ike
    -0.61
     Bei
    -0.60
    sword
    -0.60
    craft
    -0.60
    POSITIVE LOGITS
     mins
    1.02
    mins
    0.99
     minutes
    0.95
     sidx
    0.92
     seconds
    0.86
     minute
    0.80
     msec
    0.77
     hrs
    0.76
    minute
    0.74
     nights
    0.69
    Activations Density 0.089%

    No Known Activations