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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
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    Explanations

    references to a computer mouse in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to computer mice

    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
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    No Comments

    Negative Logits
    »Ĵ
    -0.75
    reek
    -0.72
    rates
    -0.70
    rogens
    -0.70
    onite
    -0.69
     Buckingham
    -0.69
    namese
    -0.69
    APD
    -0.68
    ieves
    -0.68
    rating
    -0.68
    POSITIVE LOGITS
     mouse
    1.21
     cursor
    1.18
     Mouse
    1.07
    mouse
    1.04
    pad
    0.97
     clicks
    0.94
    Mouse
    0.92
     mice
    0.91
     pointer
    0.88
    wheel
    0.86
    Activations Density 0.007%

    No Known Activations