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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. 1-RES-JB
    11. 16329
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    Explanations

    mentions of time durations, specifically the phrase "hours"

    oai_token-act-pair · gpt-3.5-turbo

    references to time intervals, specifically highlighting mentions of hours and related durations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    char
    -0.74
    artisan
    -0.70
    abase
    -0.64
    osaurus
    -0.63
    Appearance
    -0.63
     Function
    -0.61
    orget
    -0.61
     behav
    -0.61
    gd
    -0.59
    Events
    -0.59
    POSITIVE LOGITS
    bps
    0.86
    ruary
    0.85
     increments
    0.85
     apiece
    0.85
     hrs
    0.80
     servings
    0.79
     EDT
    0.79
    renheit
    0.79
     Mbps
    0.76
    bsp
    0.76
    Activations Density 0.584%

    No Known Activations