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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. 854
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    INDEX
    Explanations

    phrases related to buying or purchasing products and services

    oai_token-act-pair · gpt-3.5-turbo

    references to the source of purchases or supplies

    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
    perty
    -0.86
    monary
    -0.85
    xual
    -0.81
    onential
    -0.78
    idav
    -0.75
    ratulations
    -0.74
    merce
    -0.74
    ussion
    -0.73
    video
    -0.71
    verages
    -0.69
    POSITIVE LOGITS
     afar
    1.21
     abroad
    1.13
     scratch
    1.04
     whence
    0.94
     reputable
    0.82
     anywhere
    0.81
     thence
    0.79
     Merc
    0.79
     suppliers
    0.76
     sources
    0.76
    Activations Density 0.157%

    No Known Activations