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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. 4-RES-JB
    11. 20139
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to searching or quests for something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    church
    -0.76
    sembly
    -0.73
    demand
    -0.70
    hement
    -0.69
    assisted
    -0.67
    ienne
    -0.67
    osi
    -0.67
    minus
    -0.67
    clair
    -0.66
    ouch
    -0.65
    POSITIVE LOGITS
    ById
    0.87
    gery
    0.77
     clues
    0.77
     QR
    0.75
     UFOs
    0.68
     loopholes
    0.67
    geries
    0.67
    eport
    0.66
     Bin
    0.65
     eBay
    0.65
    Activations Density 0.110%

    No Known Activations