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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. 3318
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    INDEX
    Explanations

    phrases related to understanding or summarizing text

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal understanding and involvement in discussions

    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
     Crazy
    -0.80
     poop
    -0.78
     KILL
    -0.77
    ðŁĺ
    -0.73
     Kids
    -0.73
     Chains
    -0.70
     diaper
    -0.70
     Kardash
    -0.69
     fake
    -0.69
     underwear
    -0.68
    POSITIVE LOGITS
     scholarly
    1.28
     methodological
    1.19
     fruitful
    1.09
     eluc
    1.06
     summar
    1.01
     histor
    1.00
     scholars
    0.99
     anthology
    0.98
     scholar
    0.97
     indispensable
    0.95
    Activations Density 0.772%

    No Known Activations