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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. 9-RES-JB
    11. 16327
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    INDEX
    Explanations

    mentions of the word "brick"

    oai_token-act-pair · gpt-3.5-turbo

    references to bricks in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orescence
    -0.72
    ppe
    -0.71
     relativity
    -0.70
    uthor
    -0.69
    ivia
    -0.66
     unintended
    -0.64
    ophen
    -0.63
     externalToEVAOnly
    -0.62
    judicial
    -0.62
     Voters
    -0.61
    POSITIVE LOGITS
    layer
    1.22
    bats
    1.20
    mort
    1.19
    yard
    1.06
    buster
    0.97
    busters
    0.95
    wall
    0.90
    yards
    0.89
     mortar
    0.88
    built
    0.88
    Activations Density 0.028%

    No Known Activations