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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. 16349
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    INDEX
    Explanations

    phrases related to positive experiences or qualities

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing recommendations and excitement about entertainment experiences

    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
     wording
    -0.75
     unspecified
    -0.71
     Fixed
    -0.70
     renegoti
    -0.66
     )]
    -0.65
     Provision
    -0.63
     intervening
    -0.63
    Solution
    -0.63
     blames
    -0.63
     incompetence
    -0.62
    POSITIVE LOGITS
     unforgettable
    1.09
     unbeat
    0.92
     thrill
    0.90
     memorable
    0.88
     awe
    0.88
     irresistible
    0.87
     classics
    0.85
     rave
    0.85
     enjoyable
    0.85
     irresist
    0.84
    Activations Density 0.555%

    No Known Activations