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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. 4-RES-JB
    11. 24303
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    Explanations

    keywords related to food or food production

    oai_token-act-pair · gpt-3.5-turbo

    references to food and food security

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

    No Comments

    Negative Logits
     Wink
    -0.84
    orp
    -0.82
     Werewolf
    -0.77
    acular
    -0.71
     Freem
    -0.71
    aird
    -0.70
     Caldwell
    -0.69
     Rowe
    -0.68
    owered
    -0.66
     Moff
    -0.66
    POSITIVE LOGITS
    stuff
    1.11
    borne
    1.06
    corn
    0.99
     eaten
    0.97
    grain
    0.94
     nutrit
    0.93
    food
    0.91
     additives
    0.89
     dehyd
    0.88
     starch
    0.87
    Activations Density 0.021%

    No Known Activations