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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. 0-RES-JB
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    Explanations

    words related to criminality, specifically the term "felon"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to individuals with felony convictions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tanaka
    -0.87
    WHO
    -0.79
     Lowry
    -0.78
     Wait
    -0.75
     Scully
    -0.74
    advertising
    -0.73
    ahi
    -0.72
     Shinra
    -0.72
     Report
    -0.70
     Stephenson
    -0.70
    POSITIVE LOGITS
     fel
    3.86
     felon
    2.45
     misdem
    1.44
     pard
    1.31
     fug
    1.27
    Fel
    1.23
     fugitive
    1.17
     felony
    1.13
     liber
    1.13
     vag
    1.12
    Activations Density 0.035%

    No Known Activations