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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. 9-RES-JB
    6. 19228
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    Explanations

    names or references to specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to names and players in a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tnc
    -0.66
     livest
    -0.64
    rip
    -0.63
     Instruct
    -0.62
    externalActionCode
    -0.62
    MIT
    -0.62
     Protector
    -0.62
    Flickr
    -0.62
    ©¶æ
    -0.61
    lag
    -0.61
    POSITIVE LOGITS
     vying
    1.05
     whom
    1.04
     besides
    1.01
     who
    0.99
    hips
    0.96
     lined
    0.89
     recruited
    0.89
     nominated
    0.87
     whose
    0.87
     eligible
    0.86
    Activations Density 0.303%

    No Known Activations