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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. 0-RES-JB
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    Explanations

    related to negative emotions or disappointment

    oai_token-act-pair · gpt-3.5-turbo

    expressions of disappointment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    scope
    -0.69
    aer
    -0.68
    arta
    -0.67
    eton
    -0.67
     Enabled
    -0.62
    nels
    -0.60
    ryu
    -0.60
    Types
    -0.59
    flow
    -0.59
     Wikimedia
    -0.59
    POSITIVE LOGITS
     disappointing
    3.27
     disappoint
    1.99
     disappointment
    1.98
     frustrating
    1.95
     lackluster
    1.86
     disappointed
    1.73
     dismal
    1.55
     embarrassing
    1.55
     dissatisf
    1.54
     upsetting
    1.46
    Activations Density 0.025%

    No Known Activations