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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. 7-RES-JB
    11. 11130
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    Explanations

    personal reactions or thoughts

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal reactions and feelings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     slips
    -0.65
     intermedi
    -0.61
     pronoun
    -0.60
    clusive
    -0.59
    von
    -0.59
    repl
    -0.59
     aux
    -0.57
    />
    -0.57
     lett
    -0.56
    myra
    -0.56
    POSITIVE LOGITS
     sensibilities
    0.94
     itch
    0.83
    aughs
    0.78
     senses
    0.77
     curiosity
    0.75
     puzz
    0.74
     sights
    0.72
     Flavoring
    0.71
     aest
    0.71
    hematically
    0.70
    Activations Density 0.170%

    No Known Activations