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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. 3-RES-JB
    11. 17135
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    Explanations

    phrases related to establishing or setting important precedents, foundations, or records

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to establishing precedents and revealing truths

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     studied
    -0.63
    rived
    -0.62
    lated
    -0.61
     depress
    -0.61
     towed
    -0.61
     craft
    -0.61
    rive
    -0.60
    hung
    -0.60
     petty
    -0.60
     Po
    -0.59
    POSITIVE LOGITS
    çīĪ
    0.79
    ãĥ¼ãĥĨ
    0.75
    DAQ
    0.74
    Reloaded
    0.74
    =-=-
    0.73
    ãĥī
    0.73
     à¤
    0.73
    ãģ¦
    0.71
    aeda
    0.71
    advertisement
    0.71
    Activations Density 1.337%

    No Known Activations