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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    keeping
    -0.69
     laundering
    -0.65
    keepers
    -0.63
    asha
    -0.63
    OST
    -0.61
    ¥µ
    -0.60
     stewards
    -0.60
     hierarchy
    -0.59
    Management
    -0.59
     à¤
    -0.58
    POSITIVE LOGITS
    vous
    1.03
    ces
    0.98
    uits
    0.89
    creen
    0.87
    uit
    0.86
     Vide
    0.85
    ippi
    0.84
    pan
    0.83
    lip
    0.80
    xon
    0.79
    Activations Density 0.008%

    No Known Activations