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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. 7-RES-JB
    11. 2916
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    Explanations

    When activated, neuron 4 is looking for numeric quantities related to achievements, such as the number of goals scored, points earned, or times certain actions were performed

    oai_token-act-pair · gpt-3.5-turbo

    numerical statistics related to sports performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rish
    -0.68
     Strait
    -0.65
    agame
    -0.64
    stem
    -0.62
    affer
    -0.60
     ours
    -0.59
    aucus
    -0.59
    agents
    -0.59
    ale
    -0.58
    stakes
    -0.58
    POSITIVE LOGITS
     consecutive
    1.17
    aciously
    0.98
     apiece
    0.93
     assists
    0.93
     successive
    0.90
     percent
    0.90
     fewer
    0.86
    uously
    0.83
    acity
    0.81
     strokes
    0.78
    Activations Density 0.187%

    No Known Activations