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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. 10-RES-JB
    6. 3750
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    Explanations

    mentions of usernames or handles on social media platforms

    oai_token-act-pair · gpt-3.5-turbo

    references to social media interactions and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pione
    -0.88
     earthqu
    -0.88
    Þ
    -0.87
    ò
    -0.86
    ñ
    -0.85
    ß
    -0.82
    oreAnd
    -0.82
    ą
    -0.81
    Ĝ
    -0.80
    ActionCode
    -0.80
    POSITIVE LOGITS
    ])
    0.65
    ]);
    0.65
    eme
    0.62
    visors
    0.62
    lege
    0.59
    inar
    0.58
    romeda
    0.58
    earable
    0.58
    wordpress
    0.57
    office
    0.57
    Activations Density 0.216%

    No Known Activations