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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. 0-RES-JB
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    Explanations

    references to the brand Coca-Cola

    oai_token-act-pair · gpt-3.5-turbo

    references to the Coca-Cola brand

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     detail
    -0.67
     return
    -0.67
     sag
    -0.67
     migration
    -0.66
     intr
    -0.66
     mount
    -0.66
     sanctuary
    -0.66
     ACT
    -0.65
     scores
    -0.64
     path
    -0.63
    POSITIVE LOGITS
    Cola
    4.94
    Bott
    1.40
    Beer
    1.18
     Coke
    1.17
    issance
    1.16
    odka
    1.12
    wagen
    1.06
    Benz
    1.01
     Coca
    1.01
    Champ
    1.01
    Activations Density 0.031%

    No Known Activations