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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. 4-RES-JB
    11. 14242
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    Explanations

    references to time-related events that occurred within the recent past

    oai_token-act-pair · gpt-3.5-turbo

    references to time, specifically events that occurred in the recent past

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

    No Comments

    Negative Logits
     bets
    -0.71
    inen
    -0.64
     trucks
    -0.63
     fonts
    -0.63
     carbohyd
    -0.63
     icing
    -0.62
    OHN
    -0.62
     sugars
    -0.61
     liquids
    -0.60
     satellites
    -0.59
    POSITIVE LOGITS
    cture
    0.84
    worldly
    0.84
    ebin
    0.71
    fecture
    0.69
    chance
    0.66
    isphere
    0.65
    ranch
    0.64
    ieri
    0.62
    illet
    0.62
    sector
    0.62
    Activations Density 0.272%

    No Known Activations