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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. 22595
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    Explanations

    phrases related to announcements or releases

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and their contextual significance

    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
     discouraged
    -0.71
     turnover
    -0.67
     temperament
    -0.66
     penal
    -0.65
     attrition
    -0.65
     occupancy
    -0.63
     scrap
    -0.61
     occupation
    -0.61
     grop
    -0.60
     dissu
    -0.60
    POSITIVE LOGITS
     Featuring
    1.29
     Located
    0.99
    eaturing
    0.95
     Includes
    0.94
     Whilst
    0.92
     Released
    0.90
     Specifically
    0.90
     Designed
    0.88
     Created
    0.87
     Originally
    0.87
    Activations Density 0.572%

    No Known Activations