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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 24551
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    Explanations

    phrases related to the action of selling something to a specific recipient

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to transactions or sales

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     VIDEOS
    -0.81
    files
    -0.79
    imental
    -0.77
    clips
    -0.75
    caster
    -0.74
    undrum
    -0.70
    cipline
    -0.69
    pring
    -0.69
    ciplinary
    -0.68
    inction
    -0.68
    POSITIVE LOGITS
     traffickers
    0.95
     buyers
    0.89
     collectors
    0.85
     dealers
    0.83
     distributors
    0.83
     advertisers
    0.82
     brokers
    0.81
     investors
    0.81
     synd
    0.80
     casinos
    0.80
    Activations Density 0.128%

    No Known Activations