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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. 7-RES-JB
    11. 3840
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    oai_token-act-pair · gpt-3.5-turbo

    references to topics, subjects, or issues being discussed

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ãĥ³ãĤ¸
    -0.69
     Towers
    -0.68
    lett
    -0.67
    othing
    -0.64
    asters
    -0.63
    viks
    -0.63
    anova
    -0.62
    OUP
    -0.62
     Aires
    -0.61
     Westminster
    -0.60
    POSITIVE LOGITS
    href
    0.81
    tackle
    0.71
     posed
    0.69
     politic
    0.67
     stemmed
    0.66
    manship
    0.66
    circle
    0.65
    ="#
    0.65
    fulness
    0.65
     resolution
    0.65
    Activations Density 0.137%

    No Known Activations