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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. 4-RES-JB
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    Explanations

    phrases containing the word "gotta."

    oai_token-act-pair · gpt-3.5-turbo

    imperatives and expressions of necessity

    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
    thumbnails
    -0.80
    edly
    -0.79
    lies
    -0.77
    furt
    -0.77
    closed
    -0.75
    BBC
    -0.70
    lund
    -0.69
     Palest
    -0.69
    athing
    -0.68
    LAN
    -0.66
    POSITIVE LOGITS
     gotta
    0.87
     buckle
    0.81
     wait
    0.79
     spice
    0.79
     give
    0.79
     nab
    0.78
     keep
    0.77
     help
    0.74
     stay
    0.74
     ta
    0.73
    Activations Density 0.006%

    No Known Activations