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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    the word "that"

    oai_token-act-pair · gpt-3.5-turbo

    repetitive instances of the word "that."

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

    No Comments

    Negative Logits
    rior
    -0.72
    hens
    -0.72
     Leilan
    -0.71
    hips
    -0.71
    istics
    -0.69
    "],"
    -0.66
    oby
    -0.65
    emis
    -0.64
    ãĥīãĥ©
    -0.64
    Ö¼
    -0.63
    POSITIVE LOGITS
     pesky
    1.17
     fateful
    0.93
     same
    0.92
     kind
    0.87
     particular
    0.80
     nifty
    0.80
    cher
    0.77
     sort
    0.74
     mattered
    0.72
    same
    0.72
    Activations Density 0.253%

    No Known Activations