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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. 4-RES-JB
    11. 18586
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    oai_token-act-pair · gpt-3.5-turbo

    situations involving significant environmental or societal threats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ichick
    -0.79
    hement
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    ataka
    -0.65
     appreci
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    izo
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    boro
    -0.64
    udo
    -0.63
    undle
    -0.62
    olkien
    -0.61
     harmon
    -0.59
    POSITIVE LOGITS
    ³³³³
    1.04
    ³³³³³³³³
    0.93
    SPONSORED
    0.90
    ³³³³³³³³³³³³³³³³
    0.86
    ³³³
    0.86
    Iss
    0.80
    ³³
    0.80
    ccording
    0.78
    Newsletter
    0.78
    Ey
    0.77
    Activations Density 0.309%

    No Known Activations