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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 2187
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    Explanations

    The neuron is looking for statements indicating the significance or implication of a particular scenario or event

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "meaning" indicating explanations or definitions of terms or concepts

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

    No Comments

    Negative Logits
    thumbnails
    -0.76
     Breed
    -0.75
    Newsletter
    -0.70
    avorite
    -0.69
    Rum
    -0.65
    EStreamFrame
    -0.64
    uded
    -0.63
    Spons
    -0.63
    ONSORED
    -0.62
    arser
    -0.59
    POSITIVE LOGITS
    fully
    1.11
    lessness
    0.91
    terday
    0.84
    bered
    0.77
    ful
    0.77
    lessly
    0.77
     Meaning
    0.77
    meaning
    0.76
    forward
    0.74
    forth
    0.73
    Activations Density 0.015%

    No Known Activations