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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 3221
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    Explanations

    phrases related to legal actions or law enforcement

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of punctuation, particularly periods and question marks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     torpedo
    -0.91
     mushroom
    -0.87
     recognised
    -0.83
     sausage
    -0.82
     rubbish
    -0.81
     loft
    -0.80
     bom
    -0.80
     organised
    -0.79
     arte
    -0.78
     compound
    -0.78
    POSITIVE LOGITS
    âĢ
    2.27
    âľ
    1.40
    âĢł
    1.39
    ãĢ
    1.28
     âĢ
    1.26
    âĻ
    1.24
    âĹ
    1.22
    âĹı
    1.22
    âģ
    1.19
    âĨ
    1.18
    Activations Density 0.323%

    No Known Activations