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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. 11-RES-JB
    6. 19605
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    Explanations

    words related to specific sections or categories, such as "section," "critic," "collection," and "jersey count."

    oai_token-act-pair · gpt-3.5-turbo

    key events or highlights related to sports and competitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rhodes
    -0.66
     secondly
    -0.61
    "],
    -0.60
     ],
    -0.59
     ]
    -0.58
     criticised
    -0.58
     ];
    -0.58
     Secondly
    -0.58
    ".
    -0.58
     Also
    -0.58
    POSITIVE LOGITS
    âĢ
    1.08
    ãĢ
    1.00
    â
    0.93
    âľ
    0.88
    *:
    0.86
    âĿ
    0.86
    âĺ
    0.86
    âĻ
    0.86
    âģ
    0.83
    âķIJâķIJ
    0.82
    Activations Density 1.026%

    No Known Activations