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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. 0-RES-JB
    11. 1522
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    INDEX
    Explanations

    mentions of low-cost products and services

    oai_token-act-pair · gpt-3.5-turbo

    references to low-cost products and services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vim
    -0.62
    ZE
    -0.62
     chat
    -0.60
     sprinkled
    -0.60
     incendiary
    -0.60
     nods
    -0.59
     pat
    -0.59
     views
    -0.59
     mixed
    -0.59
     Ish
    -0.59
    POSITIVE LOGITS
    cost
    3.91
    Cost
    2.52
     cost
    1.90
     Costs
    1.89
     Cost
    1.81
     costs
    1.74
    expensive
    1.64
    priced
    1.59
    price
    1.51
     costing
    1.45
    Activations Density 0.007%

    No Known Activations