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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 9264
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    Explanations

    locations or place names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or entities

    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
    earance
    -0.93
    acters
    -0.88
    geries
    -0.81
    onies
    -0.81
    orously
    -0.79
    enegger
    -0.75
     spoken
    -0.74
    cific
    -0.74
    ibliography
    -0.74
    olkien
    -0.74
    POSITIVE LOGITS
     Airlines
    1.11
     Airways
    1.07
     Avenue
    1.06
     Oaks
    1.04
     Tire
    1.03
     Creek
    1.03
     Labs
    1.02
     Brewing
    1.01
     Solutions
    1.00
     Broadcasting
    1.00
    Activations Density 0.352%

    No Known Activations