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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. 1-RES-JB
    11. 20775
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    Explanations

    mentions of dining experiences or establishments

    oai_token-act-pair · gpt-3.5-turbo

    references to diners and dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    姫
    -0.70
    NetMessage
    -0.68
     ABE
    -0.65
     Archangel
    -0.65
     Agency
    -0.64
    Known
    -0.62
     ESP
    -0.61
     Pike
    -0.61
    ãģ¯
    -0.60
     Economic
    -0.60
    POSITIVE LOGITS
     din
    1.63
    ning
    0.98
    ucle
    0.96
    istor
    0.93
    mong
    0.90
    stal
    0.90
    eful
    0.89
    nings
    0.88
    osaurs
    0.88
    efully
    0.87
    Activations Density 0.007%

    No Known Activations