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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 2581
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
     charm
    -0.60
     footing
    -0.57
    tons
    -0.57
    ression
    -0.56
     Trog
    -0.55
     Communications
    -0.53
     intending
    -0.53
     Ung
    -0.53
     Unic
    -0.53
     Reincarnated
    -0.52
    POSITIVE LOGITS
    ³³³³
    1.13
    ³³³³³³³³³³³³³³³³
    1.11
    advertisement
    1.11
    ³³³³³³³³
    1.07
    ³³³
    0.99
    Article
    0.97
    Advertisement
    0.92
    ³³
    0.85
    Anyway
    0.83
    posted
    0.81
    Activations Density 0.436%

    No Known Activations