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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 21109
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    INDEX
    Explanations

    information about individuals, highlighting their achievements and roles

    oai_token-act-pair · gpt-3.5-turbo

    references to authorship and significant roles held by individuals

    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
    merce
    -0.74
    mares
    -0.74
    rooms
    -0.71
    hm
    -0.71
    worn
    -0.70
     uncertainties
    -0.69
    zees
    -0.67
    boats
    -0.66
    LESS
    -0.66
    cars
    -0.66
    POSITIVE LOGITS
     youngest
    1.30
     oldest
    1.21
     eldest
    1.14
     longest
    1.14
     recipient
    1.07
     richest
    1.05
     founding
    1.04
     grandson
    1.04
     tallest
    1.02
     sole
    1.01
    Activations Density 0.154%

    No Known Activations