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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. 24358
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    Explanations

    references to specific numerical values, measurements, and units

    oai_token-act-pair · gpt-3.5-turbo

    titles or names of specific works and reference their contexts

    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
    href
    -0.77
     constitu
    -0.76
    vim
    -0.75
    manuel
    -0.72
    borgh
    -0.71
     Mast
    -0.71
    viron
    -0.71
    Language
    -0.70
     Jas
    -0.70
    BuyableInstoreAndOnline
    -0.69
    POSITIVE LOGITS
     Round
    2.02
     round
    1.92
     Square
    1.90
     square
    1.86
    Square
    1.83
    Round
    1.80
    round
    1.64
    square
    1.60
     squares
    1.53
     oval
    1.46
    Activations Density 0.192%

    No Known Activations