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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. 6-RES-JB
    11. 4218
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    Explanations

    words related to fraudulent activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of fraudulent activities or related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ŃĶ
    -0.70
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.66
    VILLE
    -0.62
     Quartz
    -0.61
     Candle
    -0.60
     Ange
    -0.60
     Roses
    -0.59
     Difference
    -0.59
    UTC
    -0.59
    baugh
    -0.57
    POSITIVE LOGITS
    ulence
    1.49
    ulent
    1.49
    sters
    1.07
    ster
    1.03
     perpetrated
    0.91
    ulously
    0.91
    ulators
    0.90
    ul
    0.88
    ulus
    0.87
    inals
    0.86
    Activations Density 0.018%

    No Known Activations