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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. 11-RES-JB
    6. 10907
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    Explanations

    words related to data analysis and decision-making

    oai_token-act-pair · gpt-3.5-turbo

    references to casualties or impacts from events

    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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    Negative Logits
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     âĢİ
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    ``
    -1.24
    ,...
    -1.23
    }}}
    -1.22
     ---
    -1.17
    Advertisement
    -1.14
    POSITIVE LOGITS
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    2.38
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    1.28
     ðŁĻĤ
    1.25
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    â̳
    1.09
     Isis
    1.09
     Nasa
    1.06
     â̦"
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    Facebook
    1.00
     â̦
    0.98
    Activations Density 0.999%

    No Known Activations