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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. 12775
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    Explanations

    names or words with diacritics and special characters (e.g., ÃŃ)

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific character or symbol

    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
    uyomi
    -0.85
    NetMessage
    -0.75
    Downloadha
    -0.72
     buckle
    -0.66
     Decay
    -0.65
    milo
    -0.65
     guiActiveUnfocused
    -0.64
    hole
    -0.63
    Zip
    -0.62
    nut
    -0.62
    POSITIVE LOGITS
    ÃŃ
    1.13
    án
    0.91
    ð
    0.86
    ¢
    0.86
    Ãī
    0.85
    á
    0.85
    IJ
    0.84
    ón
    0.84
    ¬
    0.84
    lean
    0.83
    Activations Density 0.005%

    No Known Activations