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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 9364
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    Explanations

    mentions of financial wrongdoing or criminal deception

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "fraud" and its related context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ŃĶ
    -0.73
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.73
    UTC
    -0.68
     Idle
    -0.63
     Quartz
    -0.62
     Candle
    -0.62
    STD
    -0.61
    %"
    -0.61
    Benz
    -0.61
     Fitness
    -0.59
    POSITIVE LOGITS
    ulence
    1.47
    ulent
    1.46
    sters
    1.06
    ster
    1.01
    ously
    0.93
    ulously
    0.89
     fraud
    0.89
     perpetrated
    0.87
    inals
    0.87
    ulus
    0.85
    Activations Density 0.019%

    No Known Activations