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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. 9-RES-JB
    6. 10095
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    Explanations

    references to societal issues or actions that involve a group or community

    oai_token-act-pair · gpt-3.5-turbo

    themes related to social justice and collective responsibility

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oshenko
    -0.76
     himself
    -0.74
    Reilly
    -0.68
     herself
    -0.68
    atron
    -0.68
    ORY
    -0.68
    ydia
    -0.64
     Digest
    -0.63
    arkin
    -0.60
    ATURE
    -0.57
    POSITIVE LOGITS
     ourselves
    2.34
     our
    1.50
     OUR
    1.17
    Our
    1.05
     ours
    1.04
     Our
    0.97
     selves
    0.97
     collectively
    0.96
     we
    0.89
     asses
    0.88
    Activations Density 1.290%

    No Known Activations