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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. 2-RES-JB
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    Explanations

    the name "Don."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Don."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.82
    EStream
    -0.80
     Dise
    -0.79
     SYSTEM
    -0.72
    ĺħ
    -0.72
    sighted
    -0.68
     CONTROL
    -0.66
    âĹ¼
    -0.66
     afore
    -0.65
     LCS
    -0.64
    POSITIVE LOGITS
    't
    1.24
    nie
    1.11
    nell
    0.99
    ners
    0.97
    ned
    0.95
    nels
    0.88
    uts
    0.88
    ning
    0.87
    kie
    0.86
    herty
    0.86
    Activations Density 0.031%

    No Known Activations