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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. 23719
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    INDEX
    Explanations

    comparisons highlighting an increase in some characteristic or attribute

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the concept of "more" in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    xtap
    -0.80
    mates
    -0.79
    mate
    -0.75
    vale
    -0.73
    uly
    -0.70
    agra
    -0.70
    ilts
    -0.69
    xit
    -0.68
     Advertisement
    -0.68
    iard
    -0.68
    POSITIVE LOGITS
     than
    1.37
    than
    1.02
     complicated
    0.99
     nuanced
    0.97
     sophisticated
    0.96
     complex
    0.94
     Than
    0.92
     manageable
    0.92
     ambitious
    0.87
     expensive
    0.86
    Activations Density 0.058%

    No Known Activations