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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
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    Explanations

    mentions of food-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to movie ratings and food-related terms

    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
     deaf
    -0.66
     sanctuary
    -0.65
     lifetime
    -0.64
     serious
    -0.64
     eb
    -0.62
     Sek
    -0.62
    Ring
    -0.62
     aug
    -0.62
     conceal
    -0.61
     sealing
    -0.61
    POSITIVE LOGITS
    atoes
    4.47
    ovies
    1.28
    ccoli
    1.17
    assium
    1.10
    atos
    1.08
    ixels
    1.07
    illery
    1.07
     potatoes
    1.02
    ourgeois
    1.02
    pes
    1.02
    Activations Density 0.037%

    No Known Activations