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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. 11-RES-JB
    11. 9072
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and sentence endings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     satell
    -0.83
     glim
    -0.77
     exha
    -0.76
    eatures
    -0.75
     tremend
    -0.71
     defe
    -0.70
     quir
    -0.67
     perspect
    -0.67
     myster
    -0.66
    ratulations
    -0.66
    POSITIVE LOGITS
     They
    2.51
     Their
    2.48
    Their
    2.13
    They
    2.11
    their
    1.81
     THEY
    1.78
    they
    1.76
     THEIR
    1.70
     Them
    1.39
     they
    1.38
    Activations Density 0.827%

    No Known Activations