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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. 7295
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to economic and governmental issues

    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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    Negative Logits
     Carbuncle
    -0.73
    yip
    -0.70
    liest
    -0.69
    famous
    -0.68
     Shogun
    -0.67
    ultimate
    -0.65
    mma
    -0.65
    10000
    -0.64
    idable
    -0.64
     Famous
    -0.64
    POSITIVE LOGITS
     environments
    1.12
     setups
    1.03
     layouts
    1.01
     stances
    1.01
     configurations
    1.01
     relationships
    1.00
     structures
    1.00
     backgrounds
    1.00
     practices
    0.99
    ographies
    0.99
    Activations Density 0.555%

    No Known Activations