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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. 8-RES-JB
    6. 9787
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    phrases related to legal and regulatory matters

    oai_token-act-pair · gpt-3.5-turbo

    references to legal issues and regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     [â̦]
    -0.62
    =]
    -0.57
    ."[
    -0.56
    .","
    -0.54
    .""
    -0.51
     [...]
    -0.50
    Trend
    -0.50
     *.
    -0.50
     ".
    -0.49
     therein
    -0.48
    POSITIVE LOGITS
     apologised
    0.58
    iannopoulos
    0.51
    ©¶æ
    0.49
    terness
    0.49
     apologized
    0.48
     solicitor
    0.48
     Glou
    0.48
     Gard
    0.48
     Cage
    0.46
    RAW
    0.46
    Activations Density 3.931%

    No Known Activations