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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. 16651
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    Explanations

    words in a specific foreign language or character encoding

    oai_token-act-pair · gpt-3.5-turbo

    repeating 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 @ 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
     convenience
    -0.73
     reciproc
    -0.70
     beauty
    -0.69
     recall
    -0.69
     Baptist
    -0.68
     humid
    -0.65
     recalls
    -0.65
     Presence
    -0.64
     Hobby
    -0.64
     Marsh
    -0.63
    POSITIVE LOGITS
    о
    4.47
    оÐ
    2.58
    а
    2.54
    е
    2.54
    и
    2.39
    Ñĭ
    2.35
    Ñĥ
    2.31
    Ñ
    1.99
    ÑĢ
    1.94
    Ñı
    1.94
    Activations Density 0.004%

    No Known Activations