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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. 10-RES-JB
    11. 4366
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to electrical circuits and circuit design

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     IMAGES
    -0.79
    ACTED
    -0.77
    spell
    -0.73
    ipeg
    -0.72
    ipple
    -0.70
    minster
    -0.68
     Lak
    -0.63
     Cortana
    -0.63
    token
    -0.62
     Lori
    -0.60
    POSITIVE LOGITS
     breaker
    1.30
    eer
    1.01
    eering
    0.93
     Breaker
    0.93
    ously
    0.87
    engers
    0.85
    Python
    0.81
    eers
    0.81
    ous
    0.80
    cles
    0.77
    Activations Density 0.035%

    No Known Activations