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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. 8-RES-JB
    11. 24109
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    Explanations

    phrases related to evaluation or comparison of qualities

    oai_token-act-pair · gpt-3.5-turbo

    phrases that introduce contrasts or exceptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    \":
    -0.68
    edu
    -0.66
    irl
    -0.63
    blind
    -0.62
    ãĥ¡
    -0.62
    icidal
    -0.62
    hall
    -0.62
    ãģ®
    -0.61
    fire
    -0.61
    ordinary
    -0.61
    POSITIVE LOGITS
     nevertheless
    1.58
     nonetheless
    1.54
     fortunately
    1.31
     alas
    1.30
     luckily
    1.26
     hey
    1.16
     thankfully
    1.15
     suffice
    1.12
     unfortunately
    0.99
     still
    0.98
    Activations Density 0.219%

    No Known Activations