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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. 8-RES-JB
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    Explanations

    phrases containing the word "where"

    oai_token-act-pair · gpt-3.5-turbo

    the word "where."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enegger
    -0.75
    quel
    -0.72
    ATURE
    -0.72
    apt
    -0.71
    emed
    -0.71
    yi
    -0.71
    ems
    -0.68
    astics
    -0.67
    asts
    -0.66
    ME
    -0.66
    POSITIVE LOGITS
    abouts
    1.31
    upon
    1.10
     else
    0.99
    fore
    0.99
     exactly
    0.97
    soever
    0.86
     they
    0.68
    ver
    0.68
     nearest
    0.68
    holders
    0.67
    Activations Density 0.043%

    No Known Activations