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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. 0-RES-JB
    6. 3220
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    INDEX
    Explanations

    specific occasions or events

    oai_token-act-pair · gpt-3.5-turbo

    references to significant events or occasions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Lock
    -0.69
     sucks
    -0.63
    Mail
    -0.62
    Po
    -0.59
    Tra
    -0.58
    Scan
    -0.56
     Research
    -0.56
    pps
    -0.55
    osh
    -0.55
     Stream
    -0.55
    POSITIVE LOGITS
     occasion
    4.40
     occasions
    2.49
     occas
    1.41
     pretext
    1.18
     occ
    1.16
     circumstance
    1.14
     opportunity
    1.10
     anniversary
    0.99
     purpose
    0.94
     excuse
    0.89
    Activations Density 0.005%

    No Known Activations