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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. 10231
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    Explanations

    recipes including specific measurements and ingredients

    oai_token-act-pair · gpt-3.5-turbo

    quantities and measurements for ingredients in recipes

    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
    liga
    -0.66
    ulla
    -0.63
    raltar
    -0.61
    RAW
    -0.60
     abiding
    -0.59
    OTOS
    -0.59
    ends
    -0.58
    ÅĤ
    -0.57
    Joy
    -0.57
    çĭ
    -0.57
    POSITIVE LOGITS
     Mask
    0.65
     inhibition
    0.63
    involved
    0.62
    rance
    0.61
     spoil
    0.59
     teaspoon
    0.59
    cule
    0.58
    hedral
    0.58
     metab
    0.57
     equation
    0.56
    Activations Density 0.062%

    No Known Activations