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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. 13141
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    Explanations

    sports-related sentences that include the concept of beating another team or player

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "beat" and its variations, indicating competitive success or achievement

    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
    entric
    -0.90
    orrow
    -0.75
     concess
    -0.72
    aird
    -0.70
     enrichment
    -0.70
    OPLE
    -0.69
    Austral
    -0.69
    oen
    -0.67
    osion
    -0.66
    ober
    -0.65
    POSITIVE LOGITS
    beat
    0.98
     beat
    0.90
    Beat
    0.89
     Beat
    0.84
     beaten
    0.81
    bite
    0.80
     beating
    0.77
    boxing
    0.75
     him
    0.72
    nik
    0.70
    Activations Density 0.015%

    No Known Activations