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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. 1-RES-JB
    11. 12977
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    Explanations

    semicolons indicating a continuation or elaboration of a statement

    oai_token-act-pair · gpt-3.5-turbo

    punctuation, specifically semicolons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orts
    -0.85
     spons
    -0.81
    thal
    -0.80
    izons
    -0.79
     reversible
    -0.76
    hedral
    -0.75
     unnecess
    -0.73
     helicop
    -0.73
    senal
    -0.72
     resil
    -0.71
    POSITIVE LOGITS
    -)
    1.12
     namely
    0.95
    }:
    0.94
     whereas
    0.92
    âĢ¢âĢ¢
    0.92
     };
    0.90
    ;;;;;;;;;;;;
    0.87
    };
    0.86
    }"
    0.85
     Whereas
    0.83
    Activations Density 0.059%

    No Known Activations