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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. 3-RES-JB
    11. 6050
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    INDEX
    Explanations

    descriptive adjectives related to visual and sensory experiences

    oai_token-act-pair · gpt-3.5-turbo

    themes of intimacy and emotional depth in narratives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Preferred
    -0.92
     Certification
    -0.88
     Prevention
    -0.80
    Administ
    -0.80
    rollment
    -0.80
     Sale
    -0.80
     Funds
    -0.79
     Commissioners
    -0.78
     Experts
    -0.75
    cius
    -0.75
    POSITIVE LOGITS
     tropes
    1.19
     themes
    1.18
     dramas
    1.13
     storylines
    1.13
     storytelling
    1.12
     realism
    1.10
     melanch
    1.06
     cinematic
    1.05
     humor
    1.04
     thriller
    1.04
    Activations Density 0.559%

    No Known Activations