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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

    phrases related to feeling a strong sense of 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
    access
    -0.72
     Protocol
    -0.69
    age
    -0.69
    ital
    -0.66
    aut
    -0.65
    ano
    -0.64
    ze
    -0.64
    angle
    -0.62
     initiation
    -0.61
    imb
    -0.61
    POSITIVE LOGITS
     disappointed
    3.48
     disappointment
    2.16
     disappoint
    2.05
     dissatisfied
    1.91
     frustrated
    1.86
     disappointing
    1.74
     disgusted
    1.72
     saddened
    1.69
     offended
    1.67
     pleased
    1.66
    Activations Density 0.016%

    No Known Activations