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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. 4-RES-JB
    11. 4787
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    Explanations

    phrases related to statistics or numerical proportions

    oai_token-act-pair · gpt-3.5-turbo

    references to majorities and quantities related to budgets or resources

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

    No Comments

    Negative Logits
    Delivery
    -0.73
    Spoiler
    -0.64
     Omaha
    -0.62
     Protocol
    -0.62
     Baron
    -0.62
    Population
    -0.62
     Conspiracy
    -0.61
    ×Ķ
    -0.60
     Syndicate
    -0.59
    ר
    -0.58
    POSITIVE LOGITS
    paces
    1.50
    uggest
    1.35
    pace
    1.35
    hips
    1.33
    hops
    1.33
    chool
    1.28
    mith
    1.25
    cape
    1.24
    hare
    1.24
    creen
    1.24
    Activations Density 0.181%

    No Known Activations