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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. 7282
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    Explanations

    words related to fraudulent activities or accusations

    oai_token-act-pair · gpt-3.5-turbo

    references to fraudulent activities or fraud-related terms

    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
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.75
    ŃĶ
    -0.68
     Ange
    -0.66
    cki
    -0.61
     Despair
    -0.60
     Borders
    -0.60
     Aram
    -0.58
     Afric
    -0.58
     Quartz
    -0.57
    %"
    -0.57
    POSITIVE LOGITS
    ulent
    1.73
    ulence
    1.62
    sters
    1.41
    ster
    1.31
    ul
    1.10
    ulus
    1.01
    ulators
    0.96
    inals
    0.94
    raud
    0.93
     perpetrated
    0.92
    Activations Density 0.039%

    No Known Activations