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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. 4-RES-JB
    11. 12123
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    Explanations

    words related to official statements or documents

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "read" and its variations

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

    No Comments

    Negative Logits
    ño
    -0.76
    xon
    -0.72
    ilogy
    -0.71
    engeance
    -0.69
    apolis
    -0.68
    ortium
    -0.66
    pload
    -0.66
    asio
    -0.66
    avement
    -0.65
    icho
    -0.62
    POSITIVE LOGITS
     aloud
    1.33
    just
    1.04
    mitt
    0.86
     comprehension
    0.85
    ILY
    0.83
    dress
    0.81
    me
    0.81
    ahead
    0.78
    ifi
    0.77
    mill
    0.75
    Activations Density 0.026%

    No Known Activations