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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. 1-RES-JB
    11. 22299
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    Explanations

    references to costs or expenses

    oai_token-act-pair · gpt-3.5-turbo

    references to financial costs

    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
    vironment
    -0.85
     Pur
    -0.76
     Ple
    -0.73
     Cinnamon
    -0.70
     Nether
    -0.69
     Doodle
    -0.69
    pload
    -0.68
     Sturgeon
    -0.67
     Nose
    -0.67
    ategor
    -0.66
    POSITIVE LOGITS
     cost
    0.99
     Cost
    0.89
    umed
    0.88
     prohib
    0.88
    Cost
    0.88
     costs
    0.88
    umers
    0.87
     costing
    0.85
     incurred
    0.83
    cost
    0.83
    Activations Density 0.024%

    No Known Activations