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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. 14320
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    Explanations

    phrases related to moral values and societal norms, focusing on concepts like labor, honesty, and community

    oai_token-act-pair · gpt-3.5-turbo

    references to abstract concepts related to philosophy and capitalism

    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
    ansky
    -0.93
    Steve
    -0.83
    inoa
    -0.81
    bang
    -0.80
    Õ
    -0.80
    owicz
    -0.79
    Baby
    -0.79
    linked
    -0.79
    LGBT
    -0.78
    Based
    -0.78
    POSITIVE LOGITS
    ught
    1.17
     brill
    1.09
     intercourse
    1.08
     pecul
    1.06
     pretended
    1.05
     splend
    1.05
     negro
    1.04
     signific
    1.02
     remedy
    1.02
     disposition
    1.02
    Activations Density 0.291%

    No Known Activations