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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. 19561
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    Explanations

    references to illegal financial activities, particularly money laundering

    oai_token-act-pair · gpt-3.5-turbo

    references to money laundering and related criminal activities

    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
    blank
    -0.82
    birth
    -0.74
    ãĥ´
    -0.72
    lee
    -0.71
     Candle
    -0.71
    ãĤ´ãĥ³
    -0.70
    Whe
    -0.69
    rompt
    -0.68
    arine
    -0.67
     Hawking
    -0.67
    POSITIVE LOGITS
     trafficking
    1.28
     smuggling
    1.22
     traffickers
    1.21
     cartels
    1.19
     synd
    1.17
     gangs
    1.15
     laundering
    1.14
     underworld
    1.14
     cartel
    1.10
    aundering
    1.04
    Activations Density 0.244%

    No Known Activations