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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
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    Explanations

    phrases related to large quantities or numbers

    oai_token-act-pair · gpt-3.5-turbo

    references to large quantities of people or items, particularly the word "thousands."

    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
     Neutral
    -0.68
    oh
    -0.65
    bal
    -0.63
    board
    -0.61
    linger
    -0.61
     ed
    -0.61
    nee
    -0.61
    arate
    -0.60
    atory
    -0.60
     tease
    -0.60
    POSITIVE LOGITS
     thousands
    3.45
     millions
    2.87
     hundreds
    2.64
     billions
    2.53
     tens
    2.39
     Thousands
    2.27
     trillions
    2.22
     dozens
    2.13
    Thousands
    2.08
    ousands
    2.00
    Activations Density 0.016%

    No Known Activations