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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. 9-RES-JB
    11. 14266
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    Explanations

    financial transactions or amounts of money

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "in" used in various contexts, particularly related to financial or quantitative situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    few
    -0.81
    »Ĵ
    -0.76
    linger
    -0.75
    PASS
    -0.73
    chool
    -0.72
    dar
    -0.72
    fuck
    -0.70
    boxing
    -0.69
    emo
    -0.68
    ittee
    -0.68
    POSITIVE LOGITS
     cash
    1.16
     subsidies
    1.05
     dollars
    1.03
     revenue
    1.01
     annual
    1.00
     savings
    1.00
     increments
    0.98
     damages
    0.97
     fines
    0.96
     excess
    0.96
    Activations Density 0.061%

    No Known Activations