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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. 8706
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    Explanations

    the phrase "of course"

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "of course."

    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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    Negative Logits
    aukee
    -0.72
    mented
    -0.65
    iry
    -0.61
    ItemTracker
    -0.60
    idas
    -0.60
    effic
    -0.60
    RAW
    -0.59
     quart
    -0.59
     curtain
    -0.58
    inator
    -0.58
    POSITIVE LOGITS
    terday
    0.71
     there
    0.67
    anian
    0.64
    ARGET
    0.64
    ña
    0.64
    ç¥ŀ
    0.63
    س
    0.63
    ãĥķãĤ©
    0.62
    olkien
    0.62
     THERE
    0.62
    Activations Density 0.030%

    No Known Activations