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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. 477
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    Explanations

    names of specific cities and institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or institutions

    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
     eleph
    -0.85
     TIME
    -0.84
     sustained
    -0.82
     favor
    -0.80
     DW
    -0.79
     metic
    -0.78
     describ
    -0.78
     sustaining
    -0.78
     CONTR
    -0.75
     abusive
    -0.74
    POSITIVE LOGITS
    Nor
    1.86
    South
    1.76
    Mont
    1.76
    North
    1.75
    Pan
    1.75
    Mal
    1.74
    Bul
    1.73
    Iv
    1.73
    Os
    1.73
    Haw
    1.72
    Activations Density 0.212%

    No Known Activations