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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. 0-RES-JB
    11. 4974
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    Explanations

    unintelligible characters and symbols

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific symbols or characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bolt
    -0.71
    tern
    -0.71
    orc
    -0.70
     peripheral
    -0.64
     Falls
    -0.64
    rest
    -0.63
     competitor
    -0.63
    ync
    -0.63
    conn
    -0.63
     cord
    -0.62
    POSITIVE LOGITS
     Ø
    3.65
     Ù
    3.15
     اÙĦ
    2.71
     Ùħ
    2.59
     ÙĪ
    2.48
     à¤
    2.06
     ×
    1.85
     Ð
    1.63
     à¨
    1.57
     ì
    1.54
    Activations Density 0.011%

    No Known Activations