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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. 11-RES-JB
    11. 6785
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    Explanations

    numerical quantities and units of measurement

    oai_token-act-pair · gpt-3.5-turbo

    financial terms and references related to money and resources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WARD
    -0.82
     ACTIONS
    -0.75
    ROR
    -0.69
     Cosponsors
    -0.64
    TYPE
    -0.62
    Benz
    -0.62
    ModLoader
    -0.61
    wards
    -0.61
    imaru
    -0.60
    èĪ
    -0.58
    POSITIVE LOGITS
     available
    1.40
     leftover
    1.31
     lying
    1.29
     tucked
    1.27
     installed
    1.26
     left
    1.25
     remaining
    1.24
     dangling
    1.19
     strapped
    1.19
     lurking
    1.17
    Activations Density 0.640%

    No Known Activations