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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. 6-RES-JB
    11. 11740
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    Explanations

    narratives about groups of young people engaged in shared experiences or activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    phrases related to forming a band or group with a shared interest

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    >)
    -0.86
    Lean
    -0.85
    TPPStreamerBot
    -0.80
    statement
    -0.77
    Article
    -0.75
    Roberts
    -0.75
    External
    -0.74
    tarians
    -0.74
    ETF
    -0.72
    Fed
    -0.72
    POSITIVE LOGITS
     supernatural
    0.97
     vampire
    0.92
     samurai
    0.89
     orphan
    0.89
     mutated
    0.87
     enchanted
    0.83
     cursed
    0.82
     hallucinations
    0.81
     discovers
    0.80
     protagonist
    0.79
    Activations Density 0.779%

    No Known Activations