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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. 6-RES-JB
    11. 7625
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    Explanations

    phrases and mentions related to criminal offenses, specifically felony charges

    oai_token-act-pair · gpt-3.5-turbo

    references to felony charges

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adle
    -0.84
    ators
    -0.83
    arest
    -0.82
    efficients
    -0.82
    ator
    -0.81
    choes
    -0.81
    obyl
    -0.80
    atu
    -0.80
    abeth
    -0.80
    arity
    -0.80
    POSITIVE LOGITS
     punishable
    0.97
     offenses
    0.88
     probation
    0.87
     felony
    0.86
     convictions
    0.85
     arra
    0.85
     criminal
    0.84
     arrests
    0.84
     DUI
    0.81
     misdemeanor
    0.81
    Activations Density 0.023%

    No Known Activations