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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. 7-RES-JB
    11. 10020
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    Explanations

    sounds like a pattern or repetitive sequence

    oai_token-act-pair · gpt-3.5-turbo

    repeated symbols and special characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cffff
    -0.76
    yout
    -0.76
    wcs
    -0.68
    EAR
    -0.63
    20439
    -0.62
    FIR
    -0.61
    é¾
    -0.61
    dm
    -0.60
    ãĥ£
    -0.60
    ãĥ¼ãĤ¯
    -0.59
    POSITIVE LOGITS
    ãĢį
    0.75
     istg
    0.75
    wise
    0.74
     attRot
    0.71
     Zhao
    0.68
    ]-
    0.66
    },
    0.65
    }
    0.64
    wick
    0.63
    }\
    0.63
    Activations Density 0.041%

    No Known Activations