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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. 11-RES-JB
    11. 5041
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    INDEX
    Explanations

    references to "caps" or "capping" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to caps and levels in a gaming or reward context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dayton
    -0.95
     yoga
    -0.87
     Hussain
    -0.81
     yog
    -0.81
    objects
    -0.80
     Dunham
    -0.80
     rye
    -0.80
     Riley
    -0.79
     condem
    -0.79
     Yoga
    -0.78
    POSITIVE LOGITS
     Cap
    2.42
    Cap
    2.27
     cap
    2.24
    cap
    2.13
     CAP
    2.00
     caps
    1.96
    CAP
    1.92
     Caps
    1.83
     cape
    1.69
    caps
    1.68
    Activations Density 0.222%

    No Known Activations