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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. 3-RES-JB
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    text related to legal matters and accusations

    oai_token-act-pair · gpt-3.5-turbo

    terminologies and phrases related to legal issues and court proceedings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     glim
    -0.81
    sylv
    -0.79
    sonian
    -0.72
     Perkins
    -0.71
    terson
    -0.70
     haunted
    -0.70
     peers
    -0.69
     Cutter
    -0.68
     raven
    -0.68
    ARDIS
    -0.67
    POSITIVE LOGITS
     Modi
    1.19
     Hindu
    1.14
     Hindi
    1.13
     Tamil
    1.09
     Bhar
    1.07
     Bh
    1.06
     Maharashtra
    1.05
     Sharma
    1.02
    jriwal
    1.02
     Shiv
    1.01
    Activations Density 1.112%

    No Known Activations