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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. 17448
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    Explanations

    phrases related to personal interactions or communications

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating personal experiences or relationships

    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
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    Negative Logits
    ãĤ´ãĥ³
    -0.94
     âī¡
    -0.83
    ="/
    -0.83
     exting
    -0.83
    è¦ļéĨĴ
    -0.82
    utterstock
    -0.77
    pmwiki
    -0.76
    ãĥİ
    -0.76
    >.
    -0.75
    ãĢij
    -0.75
    POSITIVE LOGITS
     [
    1.56
     ['
    1.32
     Ronnie
    1.05
     Frankie
    1.03
     Kenny
    1.02
     Robbie
    1.00
     Richie
    1.00
     Manny
    0.99
     Eddie
    0.99
     Coach
    0.99
    Activations Density 0.584%

    No Known Activations