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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. 7-RES-JB
    11. 13655
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    Explanations

    phrases related to legal proceedings and law enforcement

    oai_token-act-pair · gpt-3.5-turbo

    references to legal actions and prosecutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.87
    nergy
    -0.81
    ibaba
    -0.80
    soType
    -0.76
    eret
    -0.76
     divid
    -0.75
    chnology
    -0.72
    esthesia
    -0.72
     tasted
    -0.70
    erves
    -0.69
    POSITIVE LOGITS
     criminally
    1.13
     culprit
    1.05
     perpetrators
    1.04
     delinquent
    1.00
     innocent
    1.00
     guilty
    0.99
     murderer
    0.97
     criminals
    0.97
     wrongdoing
    0.96
     perpetrator
    0.95
    Activations Density 0.331%

    No Known Activations