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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. 22551
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    Explanations

    mentions of the word "bouillon", a type of broth or stock

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific locations or establishments, particularly related to dining experiences

    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
    lished
    -0.84
    ¥µ
    -0.82
    RIP
    -0.76
    ilk
    -0.75
    BOOK
    -0.75
    AAAAAAAA
    -0.74
    ents
    -0.74
    eem
    -0.72
    arettes
    -0.72
    76561
    -0.71
    POSITIVE LOGITS
    illon
    1.21
    aires
    0.92
     Dillon
    0.89
    stadt
    0.89
    inois
    0.83
    uminati
    0.79
    ians
    0.79
    xtap
    0.77
     Philippe
    0.77
    aire
    0.74
    Activations Density 0.017%

    No Known Activations