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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 21198
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    Explanations

    numeric and special characters

    oai_token-act-pair · gpt-3.5-turbo

    percentages and numerical data related to various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    oat
    -0.73
    emetery
    -0.67
    ensibly
    -0.64
    acet
    -0.63
    cas
    -0.62
    ãĥ¼ãĥĨãĤ£
    -0.61
    guyen
    -0.59
     groom
    -0.59
    ËĪ
    -0.58
    aus
    -0.57
    POSITIVE LOGITS
    <|endoftext|>
    1.17
     };
    1.16
    };
    1.11
     =================================================================
    1.03
     Lastly
    1.03
    .''.
    1.03
     TOTAL
    1.01
     ];
    0.94
    "}
    0.94
    ))))
    0.93
    Activations Density 0.222%

    No Known Activations