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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. 11-RES-JB
    11. 17514
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    Explanations

    actions that someone can take

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize actions directed towards the reader

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uay
    -0.76
    mare
    -0.66
    say
    -0.61
     aloud
    -0.59
     waning
    -0.57
     inexper
    -0.54
     Applied
    -0.54
    camp
    -0.53
    arry
    -0.53
    warm
    -0.53
    POSITIVE LOGITS
    ewitness
    0.72
    ashtra
    0.69
    çīĪ
    0.66
    âķIJ
    0.62
     guys
    0.62
    ixt
    0.62
    911
    0.61
    Links
    0.60
    éļ
    0.59
    ãĥ¼ãĥ³
    0.59
    Activations Density 0.047%

    No Known Activations