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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. 5334
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    Explanations

    question marks or exclamations at the end of sentences

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly those that signal a strong emotion or conclusion

    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
    ordable
    -0.81
     dimensional
    -0.74
     mosqu
    -0.74
     satell
    -0.72
    isure
    -0.72
    undai
    -0.71
     rept
    -0.71
     freight
    -0.69
     grand
    -0.67
     nep
    -0.67
    POSITIVE LOGITS
     âĢ¢
    1.11
     âĶĤ
    1.08
     Especially
    1.07
     ·
    1.06
     *)
    1.06
     Also
    1.06
     âĢİ
    1.03
     [/
    1.02
     They
    1.01
    âĢ¢
    1.01
    Activations Density 0.480%

    No Known Activations