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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. 11-RES-JB
    11. 3923
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eyed
    -0.75
    aults
    -0.75
    YP
    -0.74
    Merit
    -0.74
    rational
    -0.72
    weak
    -0.71
    inventoryQuantity
    -0.68
    lie
    -0.68
     hesitate
    -0.67
    quit
    -0.66
    POSITIVE LOGITS
     instructions
    1.15
     TWO
    1.00
     everything
    0.99
     plenty
    0.98
     FREE
    0.96
     removable
    0.96
     optional
    0.95
     loads
    0.94
     accessories
    0.93
     tons
    0.93
    Activations Density 0.224%

    No Known Activations