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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. 20040
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    Explanations

    words related to measurements and quantities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 'f'

    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
     Mori
    -1.15
     Modi
    -1.02
    alore
    -0.91
    Nar
    -0.89
    Dur
    -0.87
     Ferr
    -0.86
    dict
    -0.84
     Godzilla
    -0.83
     DPR
    -0.80
     crore
    -0.80
    POSITIVE LOGITS
     bird
    1.39
     birds
    1.39
     Birds
    1.33
     poultry
    1.33
     Bird
    1.31
    Bird
    1.24
     chickens
    1.23
     Egg
    1.22
     Eggs
    1.21
     feathers
    1.20
    Activations Density 0.438%

    No Known Activations