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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. 8-RES-JB
    11. 16878
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    INDEX
    Explanations

    measurements of physical dimensions and weights

    oai_token-act-pair · gpt-3.5-turbo

    specifications related to dimensions and weight of objects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     contingency
    -0.80
    olicited
    -0.79
     takeover
    -0.75
    outine
    -0.74
    opathic
    -0.72
    irens
    -0.70
    leep
    -0.70
     postponed
    -0.70
    reporting
    -0.70
    rompt
    -0.67
    POSITIVE LOGITS
     circumference
    1.21
     centimeters
    1.20
     diameter
    1.17
     weighs
    1.15
     width
    1.14
    iameter
    1.13
     dimensions
    1.06
     height
    1.04
     inches
    1.03
    Width
    1.02
    Activations Density 0.243%

    No Known Activations