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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. 2-RES-JB
    11. 21520
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    Explanations

    mentions of chefs

    oai_token-act-pair · gpt-3.5-turbo

    references to chefs and cooking-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Territories
    -0.84
     Citizens
    -0.81
     PSP
    -0.76
    ilitary
    -0.73
     Defenders
    -0.68
     Measures
    -0.67
     Pradesh
    -0.65
     Pace
    -0.62
     FEC
    -0.62
     Chamber
    -0.62
    POSITIVE LOGITS
    sonian
    0.92
    gerald
    0.88
     cook
    0.82
     chef
    0.80
    ãĤ©
    0.80
     Morty
    0.80
    ware
    0.79
    ãĥķãĤ¡
    0.78
    cook
    0.78
     reviewer
    0.76
    Activations Density 0.024%

    No Known Activations