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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. 9-RES-JB
    11. 15573
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    Explanations

    phrases related to interaction and social media

    oai_token-act-pair · gpt-3.5-turbo

    symbols or special characters used in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Donna
    -0.77
     Billy
    -0.76
     unbeliev
    -0.75
     laund
    -0.72
     disse
    -0.71
     Mill
    -0.71
     Harley
    -0.70
     excuses
    -0.69
     Haj
    -0.69
     Debor
    -0.69
    POSITIVE LOGITS
    ĺ
    1.84
    ĺħ
    1.10
    ĸ
    1.08
    Ĺ
    1.06
    IJ
    1.04
    Ĵ
    0.96
    Ķ
    0.96
    ĥ
    0.95
    ¦
    0.94
    ¥
    0.94
    Activations Density 0.105%

    No Known Activations