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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. 0-RES-JB
    11. 18097
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    Explanations

    phrases related to routine or common occurrences in daily life

    oai_token-act-pair · gpt-3.5-turbo

    references to daily life and routine experiences

    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
     revised
    -0.62
    amus
    -0.60
    bolt
    -0.59
     memo
    -0.58
     memorandum
    -0.58
    arks
    -0.58
     Lic
    -0.58
     bidder
    -0.57
    oa
    -0.56
     Moff
    -0.56
    POSITIVE LOGITS
     everyday
    3.80
     Everyday
    2.41
     daily
    1.99
     ordinary
    1.69
    daily
    1.37
     mundane
    1.34
     nightly
    1.28
    ordinary
    1.25
    every
    1.20
     commonplace
    1.12
    Activations Density 0.011%

    No Known Activations