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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 1520
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    Explanations

    phrases related to the passage of time

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the passage of time or durations associated with events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cn
    -0.79
    enth
    -0.79
     Cosponsors
    -0.76
    ÙIJ
    -0.75
    icator
    -0.73
    anooga
    -0.71
    fit
    -0.71
    ctors
    -0.71
    PI
    -0.71
    gallery
    -0.70
    POSITIVE LOGITS
     uninterrupted
    1.07
     campaigning
    1.06
     inaction
    1.01
     neglect
    0.96
     stagnation
    0.95
     accumulating
    0.94
     relentless
    0.94
     silence
    0.93
     struggle
    0.91
     captivity
    0.91
    Activations Density 0.071%

    No Known Activations