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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. 1-RES-JB
    6. 9140
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    Explanations

    proper nouns, specifically names and locations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and terms associated with people and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Shot
    -0.78
    ADS
    -0.75
    Rail
    -0.75
    Charg
    -0.72
    Charge
    -0.71
    Access
    -0.71
    Rush
    -0.68
    Stock
    -0.67
     Anthem
    -0.67
    SPONSORED
    -0.66
    POSITIVE LOGITS
     eg
    1.29
    ugu
    0.81
     Eg
    0.79
     tong
    0.79
    omez
    0.77
    inkle
    0.77
    allery
    0.76
    ocent
    0.75
     ego
    0.75
    uration
    0.74
    Activations Density 0.006%

    No Known Activations