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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. 21760
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    Explanations

    locations or events where people are present

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "in" to indicate location or presence

    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
    ĪĴ
    -0.71
    ById
    -0.70
    Interstitial
    -0.70
    selves
    -0.69
    casters
    -0.69
     Definitions
    -0.64
    resso
    -0.64
    eous
    -0.63
    Percent
    -0.63
    ZI
    -0.62
    POSITIVE LOGITS
     attendance
    1.21
     town
    1.00
     contact
    0.94
     charge
    0.94
     touch
    0.90
     Prague
    0.88
    ked
    0.86
     Kuala
    0.86
     Cannes
    0.86
     Charlottesville
    0.85
    Activations Density 0.118%

    No Known Activations