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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. 8-RES-JB
    11. 2153
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     sustainable
    -0.64
     activ
    -0.63
     defe
    -0.61
     independ
    -0.60
     mustache
    -0.59
     quality
    -0.59
     collaps
    -0.59
    stal
    -0.59
     pudding
    -0.58
     extinct
    -0.57
    POSITIVE LOGITS
     However
    1.18
     Though
    1.06
     But
    1.03
     Previously
    1.01
     Although
    0.99
     While
    0.98
     They
    0.96
     Instead
    0.96
     Specifically
    0.95
     Additionally
    0.95
    Activations Density 0.643%

    No Known Activations