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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. 9-RES-JB
    11. 4845
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    Explanations

    phrases expressing personal experiences or emotions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal experiences and emotions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Specifications
    -0.78
     Critics
    -0.73
    icons
    -0.70
     Consumers
    -0.69
    ãĥĥãĥĪ
    -0.68
     attribution
    -0.68
    Analysis
    -0.67
     Firearms
    -0.67
     Brass
    -0.65
    ature
    -0.64
    POSITIVE LOGITS
     stressful
    1.26
     liberating
    1.08
     exhilar
    1.04
     bitters
    1.04
     surreal
    1.03
     enjoyable
    1.03
     unbearable
    1.00
     daunting
    0.98
     relaxing
    0.97
     rewarding
    0.95
    Activations Density 0.646%

    No Known Activations