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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
    11. 10149
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    Explanations

    references to different types of input devices, particularly focusing on keyboard buttons and mouse gestures

    oai_token-act-pair · gpt-3.5-turbo

    references to input devices and their controls

    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
    forth
    -0.79
     Pigs
    -0.79
    isode
    -0.73
     Leaves
    -0.72
     Anglo
    -0.71
     Coal
    -0.71
     Dian
    -0.71
     Pension
    -0.68
    sted
    -0.68
     Libyan
    -0.67
    POSITIVE LOGITS
     joystick
    1.11
     pedals
    1.03
     keyboard
    0.99
     touchscreen
    0.98
     buttons
    0.97
    pad
    0.96
     shortcuts
    0.91
     emulation
    0.90
     slider
    0.90
     cursor
    0.89
    Activations Density 0.060%

    No Known Activations