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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. 10-RES-JB
    11. 12396
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases that express recommendations or suggestions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ccording
    -0.71
    threat
    -0.70
    ulent
    -0.69
    ogyn
    -0.68
    oise
    -0.67
    rimination
    -0.62
    isol
    -0.61
    omo
    -0.61
    Said
    -0.61
    zsche
    -0.61
    POSITIVE LOGITS
     checking
    1.05
     avoiding
    1.05
     downloading
    0.99
     contacting
    0.98
     skipping
    0.98
     reading
    0.93
     buying
    0.92
     picking
    0.90
     purchasing
    0.90
     investing
    0.89
    Activations Density 0.062%

    No Known Activations