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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. 8-RES-JB
    11. 23670
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    Explanations

    specific numbers and order-related phrases

    oai_token-act-pair · gpt-3.5-turbo

    structural elements or reasons within an argument or discussion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    renheit
    -0.72
    @@
    -0.70
     Annotations
    -0.68
    Tonight
    -0.68
    Sund
    -0.63
     Administ
    -0.61
    Tai
    -0.60
    nai
    -0.60
    etimes
    -0.59
     thereafter
    -0.59
    POSITIVE LOGITS
     aspect
    1.08
     factor
    1.06
     complication
    0.98
     pecul
    0.97
     consideration
    0.96
     interesting
    0.92
     important
    0.92
     noteworthy
    0.87
    factor
    0.86
     intriguing
    0.86
    Activations Density 0.270%

    No Known Activations