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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 8683
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    INDEX
    Explanations

    references to big business and corporations

    oai_token-act-pair · gpt-3.5-turbo

    references to large businesses and corporations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ydia
    -0.74
    ttp
    -0.74
     Gemini
    -0.72
     Symptoms
    -0.70
    umbnail
    -0.69
     Canon
    -0.68
    cific
    -0.68
     Andromeda
    -0.66
    ĺħ
    -0.66
    canon
    -0.65
    POSITIVE LOGITS
     lobbyists
    0.98
     mogul
    0.91
     mog
    0.88
     executives
    0.84
     lobb
    0.82
     industries
    0.80
     headquartered
    0.80
     associations
    0.79
     CEOs
    0.79
     lobbyist
    0.78
    Activations Density 0.212%

    No Known Activations