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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    the word "Lamar"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Lamar" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    illing
    -0.81
     Pension
    -0.78
    essional
    -0.78
    ħĭ
    -0.73
    drm
    -0.65
    edd
    -0.65
    Scotland
    -0.65
    sf
    -0.64
    built
    -0.63
    ild
    -0.62
    POSITIVE LOGITS
     Lamar
    1.53
     Lyndon
    0.82
    borgh
    0.79
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.73
     Garr
    0.72
    gebra
    0.71
    hyde
    0.70
    iens
    0.69
    eteenth
    0.69
    phe
    0.69
    Activations Density 0.011%

    No Known Activations