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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. 3-RES-JB
    11. 20789
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    Explanations

    descriptions related to physical appearance and actions in a narrative context

    oai_token-act-pair · gpt-3.5-turbo

    emotional expressions and reactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è¦ļéĨĴ
    -0.81
    wcsstore
    -0.80
    ãĥīãĥ©ãĤ´ãĥ³
    -0.79
     Historically
    -0.76
    =-=-=-=-
    -0.75
    é¾į
    -0.74
    Fact
    -0.73
     Founding
    -0.72
     Factors
    -0.69
     guiName
    -0.69
    POSITIVE LOGITS
     throb
    0.98
     breaths
    0.90
     sob
    0.85
     hypnot
    0.85
     moaning
    0.83
     shudder
    0.83
     weeping
    0.82
     roar
    0.79
     ooz
    0.79
     muff
    0.79
    Activations Density 0.509%

    No Known Activations