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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. 11-RES-JB
    11. 21482
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    sentences or phrases that contain 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
     juggling
    -0.73
     satell
    -0.67
     grate
    -0.67
     torpedo
    -0.66
     antioxidant
    -0.62
     transformer
    -0.61
    ascus
    -0.61
     graphene
    -0.60
     safely
    -0.59
     harmless
    -0.58
    POSITIVE LOGITS
    âĢ
    1.63
     âĢ
    1.45
    ãĢ
    1.13
    âĢł
    1.00
     They
    0.98
    âľ
    0.98
    âĸł
    0.98
     Their
    0.96
     Therefore
    0.96
     Each
    0.95
    Activations Density 0.573%

    No Known Activations