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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. 8-RES-JB
    11. 10571
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    INDEX
    Explanations

    mentions of specific restaurant chains

    oai_token-act-pair · gpt-3.5-turbo

    references to fast-food and grocery brands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lying
    -0.79
     Utt
    -0.72
    indu
    -0.72
    rogram
    -0.71
    req
    -0.70
    phy
    -0.70
     Emin
    -0.70
    iframe
    -0.69
    idth
    -0.69
    arya
    -0.68
    POSITIVE LOGITS
     Stores
    1.28
     Restaur
    1.19
    Cola
    1.18
    Store
    1.10
    ®,
    1.07
     stores
    1.03
     restaurants
    1.02
     Store
    1.00
     Warehouse
    0.98
     Restaurant
    0.96
    Activations Density 0.270%

    No Known Activations