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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. 8812
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    Explanations

    food items containing bacon

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of bacon and related food 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
     Fundamental
    -0.79
    ept
    -0.78
     Scientology
    -0.74
     Cheong
    -0.74
    oric
    -0.73
     Volunte
    -0.67
    inen
    -0.64
    iazep
    -0.63
    EMBER
    -0.63
    姫
    -0.62
    POSITIVE LOGITS
    halla
    1.11
     grease
    1.05
     bacon
    0.99
    nect
    0.98
    netflix
    0.98
    fruit
    0.92
     toast
    0.91
     chees
    0.91
    wallet
    0.80
     Bacon
    0.78
    Activations Density 0.013%

    No Known Activations