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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. 11-RES-JB
    11. 1557
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    Explanations

    phrases related to personal experiences or anecdotes

    oai_token-act-pair · gpt-3.5-turbo

    quantitative details related to family experiences and travels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rhodes
    -0.74
     Bagg
    -0.73
     Thiel
    -0.73
     Wildcats
    -0.67
     Carson
    -0.66
     hypocr
    -0.65
     Tyson
    -0.65
     fellow
    -0.64
     Nelson
    -0.64
     Liberty
    -0.63
    POSITIVE LOGITS
    ãĢ
    1.38
    âĢ
    1.30
    [/
    1.07
    ÃĥÃĤÃĥÃĤ
    1.06
    ÃĥÃĤ
    1.06
    âī
    1.06
    âĶ
    1.02
     âĢ
    1.02
    âĸł
    1.01
    «
    1.00
    Activations Density 1.113%

    No Known Activations