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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. 3-RES-JB
    11. 16587
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    Explanations

    phrases related to stoves and cooking appliances

    oai_token-act-pair · gpt-3.5-turbo

    references to cooking appliances and related items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aird
    -0.78
     Byrne
    -0.76
     Lives
    -0.73
    odus
    -0.71
    aucus
    -0.69
    rity
    -0.67
    istic
    -0.63
     custody
    -0.62
    âĢ¢âĢ¢
    -0.62
     Enemies
    -0.60
    POSITIVE LOGITS
     stove
    1.37
    pipe
    1.04
     burner
    1.03
    riter
    0.95
    pole
    0.94
     oven
    0.93
     frying
    0.89
     cooker
    0.88
    tops
    0.87
    top
    0.86
    Activations Density 0.016%

    No Known Activations