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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. 7-RES-JB
    11. 262
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    numerical data and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     smugglers
    -0.76
     hyp
    -0.75
     bloc
    -0.74
     nightly
    -0.74
     dwarf
    -0.73
     treaty
    -0.73
     habit
    -0.72
     masked
    -0.72
     camel
    -0.72
     pse
    -0.72
    POSITIVE LOGITS
    Same
    1.24
    Reply
    1.24
    Conclusion
    1.22
    Instruct
    1.22
    Contact
    1.21
    Premium
    1.20
    Again
    1.20
    Return
    1.20
    Topic
    1.19
    --------------------------------------------------------
    1.17
    Activations Density 0.227%

    No Known Activations