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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. 8-RES-JB
    11. 23840
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    specific patterns related to social media links or identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Franch
    -0.74
     divers
    -0.72
     compan
    -0.71
     Austral
    -0.69
     stew
    -0.65
     locker
    -0.64
     monop
    -0.64
     Soldier
    -0.62
     corrections
    -0.61
     Esk
    -0.61
    POSITIVE LOGITS
    10000
    0.83
    STDOUT
    0.78
    fml
    0.77
    .")
    0.74
    Ñı
    0.72
    Pi
    0.69
    urrency
    0.69
    "]=>
    0.68
    200000
    0.66
    978
    0.66
    Activations Density 0.058%

    No Known Activations