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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. 3-RES-JB
    11. 5166
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    INDEX
    Explanations

    specific measurements related to vehicle performance, such as fuel efficiency, speed, and temperature

    oai_token-act-pair · gpt-3.5-turbo

    specific metrics or attributes related to vehicle performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     UNESCO
    -0.75
     Neph
    -0.71
    undo
    -0.70
     Scholarship
    -0.70
    iana
    -0.67
     scapego
    -0.67
     Kaf
    -0.67
     Judith
    -0.67
     Syri
    -0.67
     sacred
    -0.66
    POSITIVE LOGITS
     speeds
    1.10
     torque
    0.97
     testers
    0.96
     glide
    0.96
     throughput
    0.91
     tests
    0.90
     lapt
    0.90
     temperatures
    0.90
    peed
    0.88
     Tests
    0.86
    Activations Density 0.479%

    No Known Activations