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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. 17205
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    Explanations

    email-related phrases or reminders

    oai_token-act-pair · gpt-3.5-turbo

    references to checking email and personal information

    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
    rawdownloadcloneembedreportprint
    -0.70
    EStreamFrame
    -0.67
     Learns
    -0.67
    lasting
    -0.64
     impetus
    -0.62
    Imagine
    -0.61
    -+
    -0.59
    argument
    -0.59
    xual
    -0.58
    ranged
    -0.58
    POSITIVE LOGITS
     balances
    0.99
    worthiness
    0.89
     validity
    0.88
     boxes
    0.88
     correctness
    0.85
     adequ
    0.84
     box
    0.81
     compatibility
    0.80
     accuracy
    0.77
     spelling
    0.76
    Activations Density 0.101%

    No Known Activations