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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. 5-RES-JB
    6. 9978
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    Explanations

    numerical values related to specific content or information like article IDs or dates

    oai_token-act-pair · gpt-3.5-turbo

    numeric identifiers or codes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ierrez
    -0.82
    oulos
    -0.77
    brace
    -0.76
    aughs
    -0.71
    anooga
    -0.70
    chio
    -0.65
     DRAG
    -0.65
     nomine
    -0.64
     Beir
    -0.63
     Combine
    -0.63
    POSITIVE LOGITS
    88
    0.98
    66
    0.97
    646
    0.96
    802
    0.96
    003
    0.96
    014
    0.96
    69
    0.96
    201
    0.95
    67
    0.95
    89
    0.95
    Activations Density 0.099%

    No Known Activations