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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. 8-RES-JB
    11. 5018
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    Explanations

    food items, particularly those containing bacon

    oai_token-act-pair · gpt-3.5-turbo

    references to 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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ept
    -0.78
    oric
    -0.74
     Gaia
    -0.72
    ppelin
    -0.68
    chenko
    -0.66
    iazep
    -0.63
    EMBER
    -0.62
    cases
    -0.62
    eper
    -0.61
    heny
    -0.60
    POSITIVE LOGITS
    halla
    0.99
    nect
    0.91
     grease
    0.89
     chees
    0.86
    azi
    0.80
     bacon
    0.80
    netflix
    0.75
    ranch
    0.75
    istic
    0.74
    ModLoader
    0.74
    Activations Density 0.050%

    No Known Activations