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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. 9320
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    Explanations

    terms related to physical movement and speed

    oai_token-act-pair · gpt-3.5-turbo

    terms related to movement and its dynamics

    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
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    No Comments

    Negative Logits
    romeda
    -0.81
    vana
    -0.75
    zan
    -0.74
    ihil
    -0.71
    CLA
    -0.70
    aez
    -0.69
    va
    -0.67
    reddits
    -0.66
    REE
    -0.66
    arah
    -0.65
    POSITIVE LOGITS
     patterns
    0.98
    peed
    0.98
     motions
    0.89
     movements
    0.88
     speeds
    0.86
     sickness
    0.86
     speed
    0.84
     direction
    0.81
     pattern
    0.79
     motion
    0.76
    Activations Density 0.074%

    No Known Activations