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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. 7-RES-JB
    6. 18208
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    Explanations

    pairs of organizations or groups that are working together or being investigated together

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "and" in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ettings
    -0.81
    objects
    -0.77
    å¦
    -0.76
    rises
    -0.75
    imens
    -0.73
    rings
    -0.70
    pleasant
    -0.70
    concept
    -0.70
    bek
    -0.69
    ãĥ¼ãĥ
    -0.69
    POSITIVE LOGITS
     Bureau
    0.90
     ITS
    0.87
     academia
    0.85
     Department
    0.84
     affiliated
    0.83
     allied
    0.83
     Ministry
    0.81
     others
    0.81
     Perkins
    0.81
     partners
    0.80
    Activations Density 0.276%

    No Known Activations