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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. 12290
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    Explanations

    phrases related to being ahead of the curve or being advanced in some way

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to being proactive or anticipating future trends

    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
     embodiments
    -0.76
     embodiment
    -0.68
     disemb
    -0.66
    ucc
    -0.64
     Parenthood
    -0.62
    cu
    -0.62
    uction
    -0.62
    IGN
    -0.61
     Authorization
    -0.61
     parting
    -0.60
    POSITIVE LOGITS
     curve
    0.97
     pace
    0.78
     fray
    0.76
    uberty
    0.74
     queue
    0.73
    rack
    0.71
    ungle
    0.69
    antics
    0.69
     others
    0.68
     pack
    0.68
    Activations Density 0.199%

    No Known Activations