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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. 17133
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    INDEX
    Explanations

    phrases related to offers, deals, or incentives

    oai_token-act-pair · gpt-3.5-turbo

    promotional or engagement-oriented content related to pledges or contributions

    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
     Retrieved
    -0.80
    grave
    -0.70
    ilyn
    -0.69
    ãĤ©
    -0.65
    interstitial
    -0.64
    Ö¼
    -0.63
    orio
    -0.62
    abre
    -0.60
    redd
    -0.60
    enge
    -0.59
    POSITIVE LOGITS
     merely
    1.11
     just
    1.00
    just
    0.99
     simply
    0.95
     Just
    0.93
     JUST
    0.88
    Just
    0.80
     suffice
    0.79
     Simply
    0.77
    Nothing
    0.75
    Activations Density 0.509%

    No Known Activations