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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. 19352
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    Explanations

    words related to utilization or recognition of resources or concepts

    oai_token-act-pair · gpt-3.5-turbo

    words related to utilization and recognition

    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
    avorite
    -0.79
     blindly
    -0.72
     hospitality
    -0.69
    BACK
    -0.67
    æĸ¹
    -0.67
     spoilers
    -0.65
     tea
    -0.64
     indifference
    -0.62
    RESULTS
    -0.62
     Empires
    -0.62
    POSITIVE LOGITS
    ising
    1.71
    ised
    1.70
    izing
    1.68
    izable
    1.62
    ized
    1.60
    isers
    1.58
    izers
    1.56
    izes
    1.54
    izations
    1.50
    ization
    1.49
    Activations Density 0.031%

    No Known Activations