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    1. Home
    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. 14143
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to regulations and mandatory requirements

    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
    Struct
    -0.72
    asin
    -0.71
    Corn
    -0.71
    ãĥ¼ãĤ¯
    -0.70
    alle
    -0.68
    ravis
    -0.66
    ITNESS
    -0.65
    Js
    -0.65
    ritch
    -0.65
    å§«
    -0.64
    POSITIVE LOGITS
     exemption
    0.88
     expires
    0.87
     loophole
    0.86
     exemptions
    0.86
     expired
    0.84
     mandate
    0.84
     requirement
    0.81
     quota
    0.81
    naire
    0.80
     expire
    0.80
    Activations Density 0.257%

    No Known Activations