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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. 10-RES-JB
    11. 13699
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    INDEX
    Explanations

    reward descriptions in a loyalty program

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to rewards and incentives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    [/
    -0.85
    .</
    -0.81
    </
    -0.79
    ".[
    -0.79
    "},"
    -0.77
     ®
    -0.74
    ||||
    -0.71
    %"
    -0.71
     </
    -0.70
    Minecraft
    -0.70
    POSITIVE LOGITS
     likewise
    1.14
     similarly
    1.00
     again
    0.96
     Again
    0.86
     also
    0.83
    again
    0.78
     another
    0.78
     additionally
    0.78
     Same
    0.77
     equally
    0.74
    Activations Density 0.788%

    No Known Activations