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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. 11832
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    Explanations

    statements of certainty or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to official statements or claims

    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
    monton
    -0.96
    ÑĤ
    -0.86
    ãĤ´
    -0.86
     cryptoc
    -0.84
    demon
    -0.84
     Faust
    -0.84
     devils
    -0.83
     devil
    -0.82
     Bitcoins
    -0.80
     EL
    -0.80
    POSITIVE LOGITS
     Rice
    2.76
     rice
    1.87
    rice
    1.49
     Cotton
    1.31
     Soy
    1.14
     Yates
    1.12
     Riley
    1.11
     Crawford
    1.10
     Powell
    1.10
    Pear
    1.08
    Activations Density 0.179%

    No Known Activations