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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. 7-RES-JB
    11. 11763
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    Explanations

    fraud-related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of fraudulent activities and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ŃĶ
    -0.74
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.67
     Quartz
    -0.61
     Gins
    -0.61
    baugh
    -0.60
     Ange
    -0.59
     Fitness
    -0.59
     Candle
    -0.58
    UTC
    -0.58
    VILLE
    -0.57
    POSITIVE LOGITS
    ulent
    1.55
    ulence
    1.49
    sters
    1.13
    ster
    1.12
     perpetrated
    0.97
    ulators
    0.94
    ulus
    0.93
    ul
    0.92
    inals
    0.89
    ulously
    0.89
    Activations Density 0.025%

    No Known Activations