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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. 8-RES-JB
    11. 4043
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    Explanations

    words related to buttons and pressing actions

    oai_token-act-pair · gpt-3.5-turbo

    instructions related to pressing buttons or interacting with devices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.72
    infeld
    -0.71
    nown
    -0.67
     Twin
    -0.60
    endor
    -0.60
     Taste
    -0.57
    ilic
    -0.57
    atro
    -0.57
    ascular
    -0.57
     Breakfast
    -0.56
    POSITIVE LOGITS
     button
    1.19
     brakes
    1.19
     buttons
    1.15
    button
    0.99
     accelerator
    0.93
     brake
    0.78
     hardest
    0.78
     trigger
    0.78
     harder
    0.75
     Button
    0.75
    Activations Density 0.520%

    No Known Activations