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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. 3-RES-JB
    11. 24399
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    Explanations

    languages mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to different languages and language support

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    neys
    -0.84
    fight
    -0.81
    involved
    -0.78
    armac
    -0.77
    hang
    -0.77
     Icar
    -0.76
    onnaissance
    -0.75
    ndra
    -0.74
    pit
    -0.74
    erg
    -0.74
    POSITIVE LOGITS
    UTF
    0.90
     Arabic
    0.87
     subtitles
    0.85
     encoded
    0.85
     Dictionary
    0.84
     bilingual
    0.83
     spelling
    0.83
     accent
    0.82
     encoding
    0.82
     typew
    0.81
    Activations Density 0.144%

    No Known Activations