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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. 1-RES-JB
    11. 7288
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    Explanations

    numbers, specifically the number 47 appearing frequently

    oai_token-act-pair · gpt-3.5-turbo

    the numerical value "47" and its variations, indicating a focus on specific statistical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     exha
    -0.76
    ¥ŀ
    -0.73
     actu
    -0.72
     unification
    -0.71
    urus
    -0.71
     unrest
    -0.70
     insurrection
    -0.69
     deaf
    -0.68
    uve
    -0.67
    escal
    -0.67
    POSITIVE LOGITS
    rpm
    0.91
    ::::::::
    0.82
     msec
    0.82
    -+-+
    0.80
    46
    0.77
    nm
    0.76
    âĻ¦
    0.75
    manship
    0.74
    00
    0.73
    47
    0.73
    Activations Density 0.031%

    No Known Activations