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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. 10-RES-JB
    11. 6630
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    Explanations

    dates presented in a day-month-year format

    oai_token-act-pair · gpt-3.5-turbo

    specific dates and time periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Sov
    -0.69
    Tweet
    -0.67
    drm
    -0.66
    elight
    -0.63
    Secondly
    -0.61
    ipedia
    -0.58
    Article
    -0.58
    tsy
    -0.57
    ###
    -0.57
    advant
    -0.56
    POSITIVE LOGITS
     respectively
    1.47
     inclusive
    1.23
     depending
    1.21
    depending
    1.13
     alike
    1.01
     totaling
    0.89
     periods
    0.88
     consecut
    0.74
     timeframe
    0.72
    SPONSORED
    0.70
    Activations Density 0.133%

    No Known Activations