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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. 2-RES-JB
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    Explanations

    phrases related to criminal activities or legal terms, specifically those related to felons

    oai_token-act-pair · gpt-3.5-turbo

    words related to felony convictions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Companies
    -0.75
     Universities
    -0.74
     Dragonbound
    -0.69
     Galile
    -0.68
    zzo
    -0.68
    elson
    -0.67
     Bayer
    -0.67
     Christy
    -0.67
     RIS
    -0.66
     Piece
    -0.66
    POSITIVE LOGITS
     fel
    1.27
    teness
    0.89
    onies
    0.86
    ishable
    0.86
    icit
    0.85
    unte
    0.81
    istics
    0.80
     felon
    0.80
    tering
    0.78
    untarily
    0.77
    Activations Density 0.003%

    No Known Activations