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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. 11-RES-JB
    11. 6064
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    Explanations

    references to computer input devices, particularly focusing on actions related to mouse usage and control

    oai_token-act-pair · gpt-3.5-turbo

    references to computer mice and related controls

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inyl
    -0.77
    heit
    -0.72
    inia
    -0.72
    atinum
    -0.69
    asca
    -0.67
    namese
    -0.67
    iary
    -0.66
    ews
    -0.65
     Yuk
    -0.65
     Buffy
    -0.65
    POSITIVE LOGITS
     cursor
    1.34
     pointer
    1.15
    pad
    1.12
    wheel
    1.04
    caps
    0.88
     clicks
    0.85
     mouse
    0.84
     Mouse
    0.82
     wheel
    0.82
    Wheel
    0.82
    Activations Density 0.036%

    No Known Activations