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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. 5-RES-JB
    6. 1535
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    Explanations

    mentions of new items, changes, or developments

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "new" in the context of proposed changes or updates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Zip
    -0.83
    ONSORED
    -0.79
    ashtra
    -0.75
    acebook
    -0.74
    lua
    -0.74
    uddin
    -0.72
    cius
    -0.71
    thia
    -0.71
    IQ
    -0.68
    ARA
    -0.68
    POSITIVE LOGITS
    bie
    1.23
    bies
    1.20
     arrivals
    1.10
     additions
    0.99
     edition
    0.95
     generation
    0.91
     batch
    0.91
     millennium
    0.91
     entrants
    0.88
     developments
    0.87
    Activations Density 0.077%

    No Known Activations