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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. 9-RES-JB
    11. 1839
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    Explanations

    statements related to laws, regulations, responsibilities, and provisions

    oai_token-act-pair · gpt-3.5-turbo

    contextually relevant information regarding responsibilities and actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.79
     Traps
    -0.74
     Locations
    -0.73
    urers
    -0.71
     closures
    -0.70
     platforms
    -0.70
     pipelines
    -0.69
     embassies
    -0.67
     helmets
    -0.67
     bridges
    -0.66
    POSITIVE LOGITS
     himself
    1.24
     Himself
    0.98
     whom
    0.98
     herself
    0.93
     knows
    0.78
     receives
    0.76
     learns
    0.74
     exercising
    0.73
     passively
    0.72
     his
    0.72
    Activations Density 0.746%

    No Known Activations