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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. 6-RES-JB
    11. 7099
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to reasons or justifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     corro
    -0.52
     crim
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     cheers
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     accent
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     accompanying
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     contam
    -0.46
     clam
    -0.46
     rhet
    -0.46
     spokeswoman
    -0.45
     Schn
    -0.45
    POSITIVE LOGITS
    ·
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    ī
    0.74
    ®
    0.68
    «
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    ĩ
    0.67
    »
    0.64
    ħ
    0.64
    ©
    0.64
    ĵĺ
    0.63
    °
    0.62
    Activations Density 2.769%

    No Known Activations