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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. 12566
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    Explanations

    highly rated or regarded entities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "highly."

    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
     Parenthood
    -0.82
    ppo
    -0.78
     Dare
    -0.77
     Ashe
    -0.77
     Farmers
    -0.73
    ories
    -0.72
     Slug
    -0.71
     Carnage
    -0.70
     Hole
    -0.70
     Sins
    -0.70
    POSITIVE LOGITS
     regarded
    0.98
     educated
    0.93
     unlikely
    0.89
     influential
    0.89
    charged
    0.87
     tuned
    0.85
     interconnected
    0.83
     intelligent
    0.82
     improbable
    0.81
     rated
    0.81
    Activations Density 0.012%

    No Known Activations