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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
    11. 2013
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    Explanations

    the emotion of frustration

    oai_token-act-pair · gpt-3.5-turbo

    expressions of frustration

    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
    orthy
    -0.86
    icrobial
    -0.80
    sites
    -0.73
    ocl
    -0.73
    ography
    -0.72
    izations
    -0.71
    isations
    -0.69
    ymph
    -0.69
    amation
    -0.68
    oak
    -0.68
    POSITIVE LOGITS
     frustration
    0.98
     frustrated
    0.93
     frustrations
    0.86
     frust
    0.84
     exasper
    0.79
     frustrating
    0.79
    SourceFile
    0.72
     reliever
    0.71
    âĶģ
    0.70
     annoyance
    0.69
    Activations Density 0.014%

    No Known Activations