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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. 9-RES-JB
    6. 16952
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    Explanations

    numbers, particularly either standalone or in pairs

    oai_token-act-pair · gpt-3.5-turbo

    lists of numerical data or items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     antioxid
    -0.70
     hemor
    -0.70
     newsp
    -0.64
     heartbeat
    -0.61
     behavi
    -0.61
     streng
    -0.60
     advis
    -0.60
     opin
    -0.59
     attachments
    -0.58
     nodd
    -0.58
    POSITIVE LOGITS
    000
    1.69
    500
    1.34
    700
    1.30
    800
    1.29
    040
    1.28
    09
    1.28
    07
    1.26
    075
    1.26
    001
    1.25
    05
    1.24
    Activations Density 0.135%

    No Known Activations