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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. 9-RES-JB
    11. 18653
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    Explanations

    specific years or date ranges

    oai_token-act-pair · gpt-3.5-turbo

    years and dates related to events or durations of time

    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
    elight
    -0.66
    advant
    -0.63
    Tweet
    -0.61
    redients
    -0.61
    izers
    -0.60
    ication
    -0.58
    nce
    -0.57
    abet
    -0.57
     Sovere
    -0.56
     tuber
    -0.55
    POSITIVE LOGITS
     respectively
    1.13
     inclusive
    0.95
     depending
    0.93
     periods
    0.83
    depending
    0.83
     totaling
    0.80
     onwards
    0.75
     timeframe
    0.70
     alike
    0.69
     averaged
    0.68
    Activations Density 0.088%

    No Known Activations