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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. 2-RES-JB
    6. 109
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    Explanations

    the word stem "Indust"

    oai_token-act-pair · gpt-4-turbo

    industry-related terms and names

    oai_token-act-pair · gpt-3.5-turbo

    references to various industries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dawkins
    -0.71
     Wolves
    -0.69
    0000000000000000
    -0.69
    plings
    -0.69
    olves
    -0.69
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.67
    borg
    -0.65
     Dare
    -0.65
     Hurricanes
    -0.63
     Chapel
    -0.63
    POSITIVE LOGITS
    ry
    1.16
    indust
    1.13
    rial
    1.07
    rie
    1.05
    rious
    1.05
    Indust
    0.95
    ī
    0.89
    ic
    0.88
    rous
    0.87
    ries
    0.87
    Activations Density 0.013%

    No Known Activations