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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. 7-RES-JB
    11. 5321
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    Explanations

    items or products with a specific price point

    oai_token-act-pair · gpt-3.5-turbo

    mentions of price levels or tags associated with 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
    orough
    -0.80
    aug
    -0.76
     Pinball
    -0.75
    jong
    -0.74
    ullivan
    -0.74
    irc
    -0.73
    alis
    -0.71
     Vander
    -0.71
    illin
    -0.70
    jun
    -0.69
    POSITIVE LOGITS
     tag
    1.06
     gou
    1.04
     tags
    1.00
     price
    1.00
     differential
    0.95
    umed
    0.94
     premium
    0.93
    payer
    0.93
    uming
    0.91
     premiums
    0.90
    Activations Density 0.036%

    No Known Activations