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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. 6-RES-JB
    6. 6873
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    INDEX
    Explanations

    phrases related to names, specifically the name "Bernard"

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utra
    -0.83
    conservancy
    -0.80
    Äĩ
    -0.77
    eden
    -0.77
    ngth
    -0.74
    stanbul
    -0.72
    pps
    -0.72
    edited
    -0.69
    etheus
    -0.69
    pter
    -0.68
    POSITIVE LOGITS
     Bernard
    0.92
    ians
    0.90
    iam
    0.80
    ienne
    0.78
     Keane
    0.76
    ique
    0.76
     Hopkins
    0.73
    ously
    0.72
    ial
    0.72
     Beckham
    0.72
    Activations Density 0.014%

    No Known Activations