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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. 8-RES-JB
    11. 23510
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    Explanations

    expressions related to positive experiences and emotions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of gratitude and positive experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Expressions related to positive experiences and emotions

    Explanation Uploaded by User
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •GPT2 Layer 8 Movie Sentiment Features
    It's in this list because blah

    No Comments

    Negative Logits
    flush
    -0.74
     faint
    -0.70
    apons
    -0.67
     dangerously
    -0.65
     plaus
    -0.65
     delinqu
    -0.65
     predicate
    -0.63
    ensibly
    -0.63
    ranean
    -0.62
     prefers
    -0.62
    POSITIVE LOGITS
     THANK
    0.98
     congr
    0.93
     welcoming
    0.90
    Reviewer
    0.89
     thank
    0.85
     experien
    0.83
     liberating
    0.78
     Thank
    0.78
    !!!!
    0.75
    Thank
    0.75
    Activations Density 0.325%

    No Known Activations