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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. 3-RES-JB
    11. 12796
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    Explanations

    terms related to lighting

    oai_token-act-pair · gpt-3.5-turbo

    terms related to lighting in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    berus
    -0.78
    sburgh
    -0.73
    remlin
    -0.72
    Ô
    -0.72
    ãĥīãĥ©ãĤ´ãĥ³
    -0.71
    atar
    -0.69
    irlf
    -0.68
    clair
    -0.67
    ilage
    -0.65
    ilus
    -0.62
    POSITIVE LOGITS
     lighting
    1.09
     torches
    1.08
     bulbs
    0.97
     fixtures
    0.97
     lamps
    0.94
     bulb
    0.94
     candles
    0.92
    lights
    0.90
     setups
    0.85
     lights
    0.85
    Activations Density 0.011%

    No Known Activations