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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 0-RES-JB
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    Explanations

    daily activities or routines

    oai_token-act-pair · gpt-3.5-turbo

    the term "daily" in various contexts related to routine or regular occurrences

    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
    unks
    -0.73
    redits
    -0.70
    hesis
    -0.68
    agan
    -0.66
    ames
    -0.65
    heses
    -0.64
    AAA
    -0.63
    sorry
    -0.63
    ois
    -0.61
    ILA
    -0.60
    POSITIVE LOGITS
     daily
    3.72
    daily
    2.52
     weekly
    2.44
     nightly
    2.38
     everyday
    2.25
    Daily
    2.12
     monthly
    2.05
     yearly
    1.83
     Daily
    1.83
     hourly
    1.81
    Activations Density 0.011%

    No Known Activations