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    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. 17719
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    Explanations

    the word "lot" used in a context indicating a large amount or quantity

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "a lot" or its variations

    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
    speak
    -0.82
    independent
    -0.72
    Cub
    -0.59
    aneously
    -0.58
    igi
    -0.58
    kay
    -0.58
    onde
    -0.57
    def
    -0.57
    expl
    -0.56
    spe
    -0.55
    POSITIVE LOGITS
     lot
    3.30
     LOT
    2.32
     lots
    1.86
     bunch
    1.79
     Lot
    1.62
    Lot
    1.60
     ton
    1.60
    lot
    1.51
     Lots
    1.49
     alot
    1.44
    Activations Density 0.036%

    No Known Activations