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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. 11-RES-JB
    6. 8662
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    Explanations

    license plate numbers and identifiers

    oai_token-act-pair · gpt-3.5-turbo

    references to grant numbers and license plate formats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     wiser
    -0.72
     exha
    -0.72
     disproportion
    -0.72
     clos
    -0.68
     behavi
    -0.66
     healthier
    -0.66
    ividual
    -0.66
     bowls
    -0.65
    emouth
    -0.65
     destro
    -0.64
    POSITIVE LOGITS
    20439
    1.55
    0001
    1.55
    0010
    1.53
    005
    1.45
    059
    1.45
    045
    1.45
    019
    1.45
    024
    1.44
    007
    1.43
    004
    1.41
    Activations Density 0.152%

    No Known Activations