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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. 12059
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    INDEX
    Explanations

    adjectives describing quantity or size

    oai_token-act-pair · gpt-3.5-turbo

    terms related to large-scale events or issues

    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
    Ïī
    -0.84
    present
    -0.70
    Downloadha
    -0.70
    ãĤ¼
    -0.69
    åĤ
    -0.68
    ãģ¾
    -0.66
    iphate
    -0.65
     thereof
    -0.65
    slot
    -0.65
    AX
    -0.64
    POSITIVE LOGITS
     Examples
    1.00
     Thoughts
    0.93
    ly
    0.93
     Problems
    0.90
     Locations
    0.90
     Techniques
    0.86
     Categories
    0.86
     Features
    0.84
     Names
    0.84
     Stories
    0.83
    Activations Density 0.221%

    No Known Activations