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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. 1-RES-JB
    11. 20818
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    Explanations

    the word "gotten" with high activation values

    oai_token-act-pair · gpt-3.5-turbo

    the usage of the word "gotten," particularly in reference to obtaining or receiving something

    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
    ises
    -0.79
    ridge
    -0.78
    iders
    -0.72
     Britann
    -0.71
    mans
    -0.69
    aus
    -0.69
    iege
    -0.68
    ker
    -0.67
    ijk
    -0.67
    quin
    -0.66
    POSITIVE LOGITS
     rid
    1.04
    TING
    0.92
     gotten
    0.91
     accustomed
    0.87
    EStream
    0.84
     bitten
    0.81
    DragonMagazine
    0.80
     acquainted
    0.80
     away
    0.77
     tangled
    0.76
    Activations Density 0.005%

    No Known Activations