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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 1975
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    INDEX
    Explanations

    comparisons of quantity or degree

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating increasing amounts or frequencies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    æ©
    -0.69
    borg
    -0.68
    OCK
    -0.67
    ����
    -0.66
     Classification
    -0.65
    ãĥĥãĤ¯
    -0.64
    xtap
    -0.63
    ãĤ«
    -0.62
    ãĥĵ
    -0.62
    boxing
    -0.61
    POSITIVE LOGITS
     than
    0.85
    hest
    0.83
     realistic
    0.79
     adventurous
    0.78
     affluent
    0.76
     plausible
    0.75
    achy
    0.75
     prevalent
    0.74
     desirable
    0.74
     complicated
    0.73
    Activations Density 0.020%

    No Known Activations