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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. 23744
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    INDEX
    Explanations

    mentions of specific percentages or numbers associated with individuals or groups

    oai_token-act-pair · gpt-3.5-turbo

    numbers and statistics related to political support

    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
     millions
    -0.61
    Fact
    -0.59
    0000000
    -0.59
    EStreamFrame
    -0.58
     thousands
    -0.57
     comprom
    -0.56
    000000
    -0.55
     Millions
    -0.54
     vanity
    -0.54
     billions
    -0.54
    POSITIVE LOGITS
     22
    0.99
     21
    0.99
     13
    0.98
     14
    0.98
     19
    0.98
     17
    0.95
     16
    0.95
     11
    0.94
     18
    0.91
     26
    0.91
    Activations Density 0.157%

    No Known Activations