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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. 5-RES-JB
    6. 18739
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    Explanations

    numbers around 200

    oai_token-act-pair · gpt-3.5-turbo

    references to the number 200 in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    warts
    -0.93
    stal
    -0.78
    book
    -0.77
    robe
    -0.76
    aken
    -0.71
    Äĩ
    -0.70
    BOOK
    -0.70
    cone
    -0.70
    achi
    -0.70
    ime
    -0.68
    POSITIVE LOGITS
    00000
    0.96
    Hz
    0.94
    mph
    0.90
    âĸĪ
    0.82
     MHz
    0.79
     kHz
    0.78
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.78
    dayName
    0.77
    MHz
    0.77
    éĹĺ
    0.76
    Activations Density 0.021%

    No Known Activations