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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. 7-RES-JB
    6. 7609
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    Explanations

    locations or places

    oai_token-act-pair · gpt-3.5-turbo

    nouns related to locations, organizations, and products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ependent
    -0.67
     enrichment
    -0.63
    orthy
    -0.62
    icter
    -0.62
    agnar
    -0.61
    inion
    -0.61
     inner
    -0.60
    perate
    -0.60
    eeper
    -0.60
     regression
    -0.60
    POSITIVE LOGITS
    smanship
    0.81
     sandwic
    0.75
    ATURES
    0.74
    ITS
    0.69
    stros
    0.68
     Tuc
    0.67
     amassed
    0.67
     Bosnia
    0.67
    Wars
    0.67
     endured
    0.64
    Activations Density 0.475%

    No Known Activations