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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. 24002
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    Explanations

    references to the activity of gliding

    oai_token-act-pair · gpt-3.5-turbo

    words associated with gliding and aquatic activities

    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
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    No Comments

    Negative Logits
    vironment
    -0.76
    ioxid
    -0.76
    onymous
    -0.74
     Atmosp
    -0.73
     newsp
    -0.72
    ispers
    -0.70
     Outbreak
    -0.70
     ABE
    -0.69
    ilies
    -0.69
     Gleaming
    -0.67
    POSITIVE LOGITS
     locom
    1.10
     pedals
    1.07
     sled
    1.06
    chairs
    1.05
     paddle
    1.02
    addle
    1.01
    wheel
    0.99
    chair
    0.98
     skating
    0.98
    anship
    0.95
    Activations Density 0.291%

    No Known Activations