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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. 7-RES-JB
    6. 16213
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    INDEX
    Explanations

    product names or models related to technology or software, especially those with the term "Pro" in them

    oai_token-act-pair · gpt-3.5-turbo

    mentions of professional software or products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     halls
    -0.79
    ãĤ¼ãĤ¦ãĤ¹
    -0.75
     straw
    -0.75
     Cornell
    -0.67
    assetsadobe
    -0.66
    owship
    -0.64
    erella
    -0.64
     Carrie
    -0.64
     oranges
    -0.63
    ibrary
    -0.63
    POSITIVE LOGITS
    digy
    1.44
    posal
    1.30
    secution
    1.29
    gression
    1.26
    verbs
    1.17
    clamation
    1.15
    portion
    1.13
    blems
    1.13
    ceed
    1.10
    pose
    1.07
    Activations Density 0.018%

    No Known Activations