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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 14242
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    Explanations

    phrases related to explaining or outlining a plan or concept

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate outlining plans or proposals

    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
    WT
    -0.72
    ni
    -0.67
    taboola
    -0.67
    icient
    -0.64
     Advertisement
    -0.64
    Bir
    -0.61
    FML
    -0.61
    tes
    -0.61
    nee
    -0.59
    Pear
    -0.58
    POSITIVE LOGITS
     outlines
    1.17
     how
    1.07
     principles
    1.04
     plans
    1.04
     guidelines
    0.96
     strategies
    0.94
     why
    0.92
     rules
    0.90
     criteria
    0.89
     outline
    0.89
    Activations Density 0.116%

    No Known Activations