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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. 18013
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    Explanations

    keywords related to sweet treats and desserts

    oai_token-act-pair · gpt-3.5-turbo

    references to specific types of sugary foods or desserts

    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
    etheless
    -0.84
     coron
    -0.75
     compr
    -0.74
     converter
    -0.73
    .ãĢį
    -0.70
    ebin
    -0.69
     disg
    -0.69
     reversal
    -0.68
    urable
    -0.68
     divid
    -0.68
    POSITIVE LOGITS
     Pie
    1.03
    finger
    1.01
    Pie
    0.97
     Guys
    0.96
     Dome
    0.94
     Games
    0.94
     Bowl
    0.94
     Balls
    0.92
     Soup
    0.92
     Music
    0.91
    Activations Density 0.066%

    No Known Activations