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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. 11-RES-JB
    11. 5645
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    Explanations

    instructions for preheating ovens to specific temperatures

    oai_token-act-pair · gpt-3.5-turbo

    cooking temperature and instructions for food preparation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nanto
    -0.76
     souven
    -0.72
     Byte
    -0.68
    odon
    -0.68
     implants
    -0.67
    utics
    -0.65
    clave
    -0.64
    bane
    -0.63
     Myster
    -0.62
     Coins
    -0.60
    POSITIVE LOGITS
     oven
    1.19
     stove
    1.08
     HIGH
    0.99
     heat
    0.96
     Pressure
    0.94
    heat
    0.93
     simmer
    0.92
     375
    0.91
     LOW
    0.90
     temp
    0.90
    Activations Density 0.085%

    No Known Activations