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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. 7468
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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 @ 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
    isites
    -0.98
    ributes
    -0.95
    ernels
    -0.94
    rings
    -0.94
    abilities
    -0.94
     Medals
    -0.93
    steps
    -0.92
    awatts
    -0.90
    tracks
    -0.89
    lees
    -0.89
    POSITIVE LOGITS
     standpoint
    1.25
     perspective
    1.02
     person
    1.01
     opponent
    1.00
     adversary
    0.99
     institution
    0.98
     organism
    0.97
     environment
    0.96
     colleague
    0.95
     entity
    0.94
    Activations Density 0.490%

    No Known Activations