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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. 23653
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    INDEX
    Explanations

    phrases related to breaking something into parts or pieces

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating elevation or an increase

    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
     Clicker
    -0.69
     commencement
    -0.65
    FK
    -0.63
    redo
    -0.61
    vice
    -0.60
    riz
    -0.60
    natureconservancy
    -0.59
     availability
    -0.58
    Trade
    -0.57
    bt
    -0.57
    POSITIVE LOGITS
     by
    1.02
     BY
    0.83
    sole
    0.81
    estone
    0.74
    by
    0.73
     aback
    0.73
    monton
    0.69
     territ
    0.68
     onto
    0.67
    upon
    0.67
    Activations Density 0.146%

    No Known Activations