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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. 5755
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    Explanations

    the name "Yeoh" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Ye" in varying contexts

    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
    ãĥ¼ãĥĨ
    -0.91
    Downloadha
    -0.78
    ctica
    -0.69
    ãĥ
    -0.69
    hyde
    -0.67
    ãĥ´ãĤ¡
    -0.67
    ãĥĨ
    -0.65
    ãĥ¼ãĥĨãĤ£
    -0.64
     MFT
    -0.64
    otine
    -0.63
    POSITIVE LOGITS
    ldon
    1.07
    oman
    0.99
    ats
    0.95
    erk
    0.93
    aser
    0.92
    lda
    0.90
    velt
    0.87
    asers
    0.85
    asing
    0.85
    asure
    0.81
    Activations Density 0.019%

    No Known Activations