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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
    11. 16246
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    Explanations

    phrases related to legal actions, specifically involving prosecuting

    oai_token-act-pair · gpt-3.5-turbo

    terms related to legal actions and prosecution

    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
    Not in Any Lists

    No Comments

    Negative Logits
     preference
    -0.80
    yip
    -0.76
    mare
    -0.68
    phia
    -0.67
     invitation
    -0.65
    ary
    -0.64
    mares
    -0.62
     pier
    -0.62
    avage
    -0.61
     blessing
    -0.61
    POSITIVE LOGITS
    heet
    0.83
    iaries
    0.81
    ments
    0.77
    arnaev
    0.75
     prosecute
    0.74
     prosecuted
    0.74
     criminally
    0.73
    acity
    0.72
    ãĥĥãĥī
    0.71
    erson
    0.71
    Activations Density 0.027%

    No Known Activations