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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. 9653
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    INDEX
    Explanations

    quantities measured in cubic units

    oai_token-act-pair · gpt-3.5-turbo

    measurements of volume, particularly cubic measurements

    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
    urai
    -0.88
     Assass
    -0.75
    giving
    -0.75
     Tatt
    -0.73
    anamo
    -0.72
    earcher
    -0.71
    igmat
    -0.70
    famous
    -0.70
    IRED
    -0.68
    Downloadha
    -0.67
    POSITIVE LOGITS
     cubic
    1.32
     volumes
    1.00
     cylinders
    0.89
    iliary
    0.88
     barrels
    0.84
    pees
    0.83
     containers
    0.83
     centimeters
    0.82
    Volume
    0.82
     acre
    0.81
    Activations Density 0.007%

    No Known Activations