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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. 5759
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    Explanations

    individuals holding positions of authority or responsibility

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "in" and related phrases indicating location or context

    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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    No Comments

    Negative Logits
     swall
    -0.70
     innoc
    -0.67
     accordingly
    -0.65
    rained
    -0.63
     swallow
    -0.62
     outwe
    -0.62
     absorbs
    -0.62
     upside
    -0.61
     intrins
    -0.61
    izoph
    -0.60
    POSITIVE LOGITS
     charge
    1.28
    charge
    1.16
     Charge
    1.10
     conjunction
    1.00
    efficiency
    0.98
     lieu
    0.98
     accordance
    0.97
    patient
    0.96
     relation
    0.90
     situ
    0.88
    Activations Density 0.152%

    No Known Activations