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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. 12-RES-JB
    11. 3901
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    Explanations

    statements related to community support, specifically within a city context

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    key terms and names related to specific individuals and organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     mech
    -0.86
    Ross
    -0.81
     Temp
    -0.80
     Ross
    -0.77
     Torch
    -0.77
     Moran
    -0.77
     android
    -0.76
    ernels
    -0.72
     orc
    -0.71
    android
    -0.70
    POSITIVE LOGITS
     Bou
    2.10
     Sou
    1.74
     Gou
    1.68
    ou
    1.67
     Hou
    1.57
     Kou
    1.56
     Fou
    1.48
     Mou
    1.47
    OU
    1.47
     Nou
    1.43
    Activations Density 0.292%

    No Known Activations