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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. 22834
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    Explanations

    statements or opinions

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and formatting elements in the text

    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
     neighb
    -0.86
     nightly
    -0.83
     spitting
    -0.80
     lifes
    -0.78
     tours
    -0.77
     hero
    -0.76
     sculpt
    -0.75
     taste
    -0.75
     honored
    -0.74
     hooked
    -0.74
    POSITIVE LOGITS
    Conclusion
    1.68
    Nevertheless
    1.65
    Moreover
    1.59
    Furthermore
    1.57
    Secondly
    1.57
    CONCLUS
    1.54
    However
    1.54
    Consider
    1.54
    Indeed
    1.53
    Therefore
    1.52
    Activations Density 0.437%

    No Known Activations