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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. 6-RES-JB
    6. 5279
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    Explanations

    information related to cybersecurity, political scandals, and hacking activities

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to legal or regulatory matters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ¼ãĤ¦ãĤ¹
    -0.78
    thood
    -0.70
     UCHIJ
    -0.69
    sg
    -0.67
    orthern
    -0.64
    obyl
    -0.63
    ige
    -0.62
    iership
    -0.62
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.61
    electric
    -0.61
    POSITIVE LOGITS
     redacted
    1.00
     DOJ
    0.85
     FBI
    0.79
     disingen
    0.78
     attorney
    0.77
     Attorney
    0.76
     Podesta
    0.75
     phony
    0.75
     asserted
    0.75
     irony
    0.74
    Activations Density 1.571%

    No Known Activations