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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. 3819
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    Explanations

    phrases related to expressing opinions or beliefs

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal opinions or feelings

    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
     dispers
    -0.68
     safety
    -0.66
     representatives
    -0.65
     scattering
    -0.62
     shack
    -0.61
     survival
    -0.61
     Zup
    -0.61
     assemb
    -0.60
     sailors
    -0.60
     Shelter
    -0.60
    POSITIVE LOGITS
    ª
    1.41
    ¤
    1.18
    £
    1.17
    ¼
    1.16
    Ķ
    1.15
    ¢
    1.14
    º
    1.12
    ¬
    1.11
    ķ
    1.10
    ²
    1.09
    Activations Density 0.136%

    No Known Activations