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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    mentions of the word 'Snow'

    oai_token-act-pair · gpt-3.5-turbo

    repeated mentions of the word "Snow."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atti
    -0.75
    elli
    -0.73
    ront
    -0.69
     subsequ
    -0.69
    udi
    -0.69
     divest
    -0.67
    entin
    -0.66
     divid
    -0.66
     NCT
    -0.66
    adr
    -0.65
    POSITIVE LOGITS
     Snow
    3.84
    Snow
    3.29
     snow
    1.82
     snowy
    1.49
     Sleeping
    1.49
     Ice
    1.45
     Frost
    1.39
     Winter
    1.36
     Ski
    1.28
     Rain
    1.27
    Activations Density 0.016%

    No Known Activations