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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 5261
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    Explanations

    words related to perspectives or opinions

    oai_token-act-pair · gpt-3.5-turbo

    statements expressing opinions or perspectives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ammy
    -0.73
    anting
    -0.71
    ody
    -0.67
    wealth
    -0.67
    ongo
    -0.66
    vous
    -0.65
    ante
    -0.65
    vernment
    -0.65
     dust
    -0.65
    resist
    -0.62
    POSITIVE LOGITS
    finder
    0.94
    ports
    0.94
     views
    0.93
     view
    0.85
    ĸ
    0.80
    enery
    0.79
    port
    0.78
    Īè
    0.77
    enance
    0.76
     viewpoint
    0.74
    Activations Density 0.023%

    No Known Activations