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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. 9-RES-JB
    11. 11420
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    Explanations

    phrases related to food

    oai_token-act-pair · gpt-3.5-turbo

    terms related to food

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Wink
    -0.86
    20439
    -0.80
     Jed
    -0.75
     Caldwell
    -0.72
     Mb
    -0.69
    vernment
    -0.69
    assis
    -0.68
    aird
    -0.68
     Overt
    -0.67
    âĸ¬
    -0.66
    POSITIVE LOGITS
    stuff
    1.28
    grain
    1.12
    borne
    1.05
     allergies
    0.99
     eaten
    0.97
     poisoning
    0.92
     additives
    0.91
     starch
    0.91
     allergy
    0.90
    corn
    0.89
    Activations Density 0.056%

    No Known Activations