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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. 11398
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    Explanations

    various references to lights and lighting

    oai_token-act-pair · gpt-3.5-turbo

    references to lights and illumination

    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
    llah
    -0.85
    culosis
    -0.70
    cific
    -0.69
    essor
    -0.68
    xit
    -0.68
    halla
    -0.67
    doms
    -0.66
    olit
    -0.65
    ciating
    -0.63
    utor
    -0.62
    POSITIVE LOGITS
     bulbs
    1.28
     bulb
    1.21
     fixtures
    0.97
     lights
    0.96
    lights
    0.94
     emitting
    0.94
    sticks
    0.93
     lamps
    0.92
     flickering
    0.90
     blinking
    0.90
    Activations Density 0.052%

    No Known Activations