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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. 0-RES-JB
    11. 9776
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    Explanations

    instructions to preheat an oven

    oai_token-act-pair · gpt-3.5-turbo

    instructions related to heating or preheating

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     MM
    -0.70
     Lynd
    -0.69
     Ross
    -0.68
     Dor
    -0.67
     fulfilled
    -0.65
     monument
    -0.64
     Mond
    -0.64
    :{
    -0.64
     backs
    -0.62
     Mer
    -0.62
    POSITIVE LOGITS
    heat
    4.62
    Heat
    1.91
     Heat
    1.22
    powder
    1.19
     heat
    1.16
    hot
    1.12
    volt
    1.07
    perature
    1.07
    zzle
    1.03
    hots
    1.01
    Activations Density 0.020%

    No Known Activations