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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. 0-RES-JB
    11. 2615
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    INDEX
    Explanations

    phrases related to lighting and light fixtures

    oai_token-act-pair · gpt-3.5-turbo

    references 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 @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Polit
    -0.67
    ylum
    -0.66
    ournals
    -0.66
    uncle
    -0.66
    aca
    -0.64
    ursed
    -0.64
    deals
    -0.64
    essen
    -0.61
    utsche
    -0.61
    ulner
    -0.61
    POSITIVE LOGITS
     lighting
    3.71
     Lighting
    2.70
    lighting
    2.31
     lights
    2.10
     illumination
    2.00
     lamps
    1.75
     shading
    1.64
     light
    1.62
    lights
    1.60
     torches
    1.44
    Activations Density 0.005%

    No Known Activations