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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. 7404
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    Explanations

    phrases related to a wide range or variety of subjects, items, or options

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating variety or diversity in options or subjects

    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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    No Comments

    Negative Logits
    slow
    -0.82
    MIT
    -0.80
    Slow
    -0.79
    ©¶æ
    -0.73
     Cust
    -0.72
    mit
    -0.69
     Walls
    -0.69
    jiang
    -0.68
     Brief
    -0.68
    ¾
    -0.68
    POSITIVE LOGITS
     ranging
    0.80
    ortment
    0.79
     of
    0.79
     occasions
    0.78
     (>
    0.76
     viewpoints
    0.76
     options
    0.76
     imaginable
    0.76
     choices
    0.74
     ranges
    0.73
    Activations Density 0.059%

    No Known Activations