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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. 7965
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    Explanations

    records and tracks data related to communication activities

    oai_token-act-pair · gpt-3.5-turbo

    information related to tracking and recording data

    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
    medium
    -0.71
    starter
    -0.68
     Carbuncle
    -0.66
    afi
    -0.63
    argument
    -0.62
    YA
    -0.62
    ocracy
    -0.61
    orative
    -0.61
    LER
    -0.61
    inelli
    -0.60
    POSITIVE LOGITS
     births
    1.29
     sightings
    1.14
     transactions
    1.13
     successes
    1.09
     occurrences
    1.08
     visits
    1.07
     elapsed
    1.07
     accomplishments
    1.05
     whereabouts
    1.04
     deeds
    1.04
    Activations Density 0.331%

    No Known Activations