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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. 12112
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    Explanations

    product or service names mentioned in a list of features or ingredients

    oai_token-act-pair · gpt-3.5-turbo

    mention of pros, ingredients, and features related to products or recipes

    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
     externalToEVAOnly
    -0.81
     lit
    -0.76
     visitation
    -0.74
    iably
    -0.69
     registry
    -0.68
    aneously
    -0.67
     inciner
    -0.66
    оÐ
    -0.63
     payday
    -0.63
     auction
    -0.63
    POSITIVE LOGITS
    Pros
    1.10
     Pros
    0.98
    ecause
    0.86
     Features
    0.84
    Features
    0.84
    ï¸
    0.76
     Finish
    0.76
    reads
    0.76
    _-
    0.75
     Includes
    0.74
    Activations Density 0.045%

    No Known Activations