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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. 9-RES-JB
    11. 2767
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    Explanations

    references to specific entities or organizations

    oai_token-act-pair · gpt-3.5-turbo

    specific characters or symbols often associated with digital text formatting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     Downs
    -0.74
    geries
    -0.66
     seiz
    -0.65
     logger
    -0.64
     rubbish
    -0.63
     shenan
    -0.63
     flavour
    -0.63
     Stam
    -0.63
     goodies
    -0.61
     lawy
    -0.60
    POSITIVE LOGITS
    ï¸ı
    1.37
    §
    1.00
     denotes
    0.93
    âĸł
    0.88
    âĪ
    0.87
    âĻ
    0.87
    £
    0.87
    should
    0.86
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    0.86
    âĢ
    0.85
    Activations Density 0.274%

    No Known Activations