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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. 2991
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to groups or teams

    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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    Negative Logits
    uden
    -0.84
    ãĥķãĤ©
    -0.81
    enegger
    -0.78
    Downloadha
    -0.77
    acons
    -0.68
     Advocate
    -0.67
     Latest
    -0.67
     DeVos
    -0.65
    LV
    -0.64
     Glover
    -0.63
    POSITIVE LOGITS
     cohesion
    1.12
    think
    1.01
     bonding
    0.92
     dynamics
    0.91
     sizes
    0.90
     resemblance
    0.85
     size
    0.84
     harmony
    0.81
     loyalty
    0.81
     unity
    0.80
    Activations Density 0.206%

    No Known Activations