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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 21884
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    Explanations

    legal terms or actions related to law enforcement, such as "warrant."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of warrants in relation to law enforcement activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hedral
    -0.72
    thumbnails
    -0.72
     Tycoon
    -0.67
    ttle
    -0.66
     Chick
    -0.63
     Dunk
    -0.62
     Reaction
    -0.61
    helle
    -0.61
     Norn
    -0.61
     Survivors
    -0.59
    POSITIVE LOGITS
     warrant
    1.19
     warrants
    1.08
    lessly
    0.92
     affidavit
    0.87
     authorizing
    0.86
     Warrant
    0.82
     forwarding
    0.81
     authorization
    0.80
     affidav
    0.79
    ably
    0.78
    Activations Density 0.016%

    No Known Activations