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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. 1695
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    Explanations

    time-related terms, specifically weeks, months, nights, and years

    oai_token-act-pair · gpt-3.5-turbo

    temporal references and periods related to events

    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
    robe
    -0.69
    owsky
    -0.67
    este
    -0.64
    ordes
    -0.62
    ources
    -0.57
    ometimes
    -0.57
    rosse
    -0.57
    ften
    -0.56
     alike
    -0.54
     nowadays
    -0.54
    POSITIVE LOGITS
    's
    1.09
    âĢ²
    0.73
     prayers
    0.62
     festivities
    0.60
    ial
    0.60
     MU
    0.59
     events
    0.59
    matical
    0.59
    poke
    0.58
    ividual
    0.58
    Activations Density 0.173%

    No Known Activations