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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. 12247
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    Explanations

    proper nouns related to locations or organizations that contain unusual characters

    oai_token-act-pair · gpt-3.5-turbo

    mentions of locations and events associated with them

    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
     pleas
    -0.79
     sacrific
    -0.75
     synerg
    -0.71
     gains
    -0.69
     carbohyd
    -0.69
     fortun
    -0.68
     modifiers
    -0.67
     positives
    -0.67
     grit
    -0.67
     multiplier
    -0.67
    POSITIVE LOGITS
    ï¸ı
    1.04
    iversary
    0.89
    orld
    0.89
    nai
    0.87
    River
    0.87
    town
    0.86
    Town
    0.85
    University
    0.85
    City
    0.84
    venue
    0.83
    Activations Density 0.214%

    No Known Activations