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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. 17848
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of sharing or collaboration with others

    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
    INO
    -0.69
    querque
    -0.66
    heimer
    -0.66
    iHUD
    -0.65
    OB
    -0.64
    pole
    -0.62
    ION
    -0.62
    ardo
    -0.60
    È
    -0.60
    ECK
    -0.59
    POSITIVE LOGITS
     others
    1.29
     passers
    1.10
     fellow
    1.04
     classmates
    1.03
     friends
    1.02
     colleagues
    0.99
     coworkers
    0.94
     comrades
    0.92
     pals
    0.91
     audiences
    0.89
    Activations Density 0.111%

    No Known Activations