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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. 21584
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    Explanations

    specific names, places, and organizations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific locations or entities

    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
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    Negative Logits
     predec
    -0.65
     advoc
    -0.59
     respons
    -0.54
     glim
    -0.52
     mathemat
    -0.50
     notor
    -0.50
     benign
    -0.50
     challeng
    -0.49
     conflic
    -0.49
     destro
    -0.48
    POSITIVE LOGITS
    ;;;;;;;;;;;;
    0.82
     ):
    0.75
    ↵↵
    0.71
    !!!!
    0.71
     ]
    0.67
    ↵
    0.65
     !!
    0.65
     Originally
    0.64
     );
    0.64
     Quote
    0.63
    Activations Density 0.482%

    No Known Activations