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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. 9009
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    INDEX
    Explanations

    mentions of specific soda brands

    oai_token-act-pair · gpt-3.5-turbo

    references to soda and its related brands and products

    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
    Not in Any Lists

    No Comments

    Negative Logits
    aldo
    -0.84
    amily
    -0.79
    urally
    -0.75
    ILY
    -0.72
    doms
    -0.71
    ural
    -0.71
    ersen
    -0.70
    ogyn
    -0.69
    guards
    -0.69
    ailable
    -0.68
    POSITIVE LOGITS
    Cola
    1.35
     Bottle
    1.08
     bottles
    1.06
     bottle
    1.01
     cans
    1.01
     soda
    0.99
     Coke
    0.94
     vending
    0.93
     Sprite
    0.93
     Pepsi
    0.91
    Activations Density 0.056%

    No Known Activations