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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. 7-RES-JB
    11. 15223
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    Explanations

    references to soda-related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of soda brands and related products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aldo
    -0.79
    efully
    -0.71
    ationally
    -0.71
    ancial
    -0.71
    ures
    -0.70
    ittance
    -0.70
    otos
    -0.70
    seeing
    -0.70
    ural
    -0.70
    ooting
    -0.68
    POSITIVE LOGITS
    Cola
    1.36
     Coke
    1.10
     Bottle
    1.06
    Bott
    1.05
     bottles
    1.03
     bottle
    1.00
     soda
    1.00
     Sprite
    0.96
     Pepsi
    0.96
     Coca
    0.93
    Activations Density 0.043%

    No Known Activations