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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 "everywhere."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "everywhere."

    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
    quel
    -0.67
    bal
    -0.66
    rett
    -0.64
    iasis
    -0.63
    icer
    -0.63
    efe
    -0.62
    eme
    -0.62
    zai
    -0.62
    ettle
    -0.61
    hift
    -0.60
    POSITIVE LOGITS
     else
    1.50
    abouts
    1.21
     Else
    1.07
     imaginable
    0.96
    else
    0.92
    Else
    0.89
     except
    0.87
    upon
    0.80
     Everywhere
    0.76
    soever
    0.76
    Activations Density 0.020%

    No Known Activations