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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. 4-RES-JB
    11. 1681
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    Explanations

    words related to legal and professional titles and terms, such as "barrister" and "attorney"

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names related to people or organizations

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

    No Comments

    Negative Logits
     Leone
    -0.67
    ãĥ¼ãĥĨãĤ£
    -0.67
    rix
    -0.67
     Tigers
    -0.65
    lia
    -0.64
    å°Ĩ
    -0.63
     Tour
    -0.61
     Thieves
    -0.61
    æĸ¹
    -0.60
     Catalyst
    -0.60
    POSITIVE LOGITS
    ategory
    1.04
    abbit
    0.92
    interstitial
    0.89
    idges
    0.88
    anca
    0.87
    OCK
    0.85
    anche
    0.83
    IFIED
    0.82
    anks
    0.81
    anged
    0.81
    Activations Density 0.019%

    No Known Activations