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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. 4-RES-JB
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    Explanations

    words related to legal charges and offenses, specifically focusing on felony and misdemeanor charges

    oai_token-act-pair · gpt-3.5-turbo

    mentions of felony and misdemeanor charges

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

    No Comments

    Negative Logits
    arity
    -0.96
    choes
    -0.88
    atche
    -0.83
    obyl
    -0.82
    andr
    -0.81
    zsche
    -0.81
    arest
    -0.80
    atorial
    -0.79
    adle
    -0.79
    tz
    -0.78
    POSITIVE LOGITS
     punishable
    1.02
     offenses
    1.00
     felony
    0.89
     convictions
    0.89
     offender
    0.86
     probation
    0.86
     offences
    0.84
     criminal
    0.83
     misdemeanor
    0.83
     DUI
    0.82
    Activations Density 0.019%

    No Known Activations