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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. 12755
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    INDEX
    Explanations

    times mentioned in a 24-hour format

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of time or time markers

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    isation
    -0.71
    isable
    -0.71
    odor
    -0.68
    chie
    -0.66
    isations
    -0.65
    hiba
    -0.62
    inous
    -0.60
    idon
    -0.60
     acknowled
    -0.60
    ylum
    -0.60
    POSITIVE LOGITS
     ET
    1.47
     EDT
    1.44
     EST
    1.37
     CST
    1.34
     PT
    1.29
     PDT
    1.28
     PST
    1.27
     CT
    1.12
     Eastern
    1.08
     MT
    1.06
    Activations Density 0.040%

    No Known Activations