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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. 11-RES-JB
    11. 9306
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    Explanations

    words related to law enforcement and criminal activities

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to anti-poaching efforts and illegal trade

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    answer
    -0.77
     Eisenhower
    -0.75
     Guth
    -0.74
    equal
    -0.72
    DCS
    -0.72
     Ended
    -0.70
    ellen
    -0.67
     Hiroshima
    -0.66
    utral
    -0.65
     Truman
    -0.65
    POSITIVE LOGITS
     illicit
    1.42
     traffickers
    1.40
     criminals
    1.39
     trafficking
    1.34
     criminality
    1.31
     illegal
    1.30
     offenders
    1.30
     smuggling
    1.29
     counterfe
    1.24
     abusers
    1.22
    Activations Density 0.486%

    No Known Activations