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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. 10-RES-JB
    6. 1687
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    INDEX
    Explanations

    phrases related to possessions and personal belongings

    oai_token-act-pair · gpt-3.5-turbo

    pronouns related to ownership and possession

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    haus
    -0.82
    venture
    -0.74
    itect
    -0.72
    imester
    -0.72
    ablishment
    -0.71
    wark
    -0.70
    axis
    -0.70
     Strateg
    -0.69
    bender
    -0.69
    risis
    -0.68
    POSITIVE LOGITS
     belongings
    1.55
     own
    1.45
     possessions
    1.23
     goodies
    1.14
     fingerprints
    1.12
     favorite
    1.12
     clothes
    1.11
     entire
    1.09
     prized
    1.08
     precious
    1.08
    Activations Density 0.187%

    No Known Activations