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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. 2-RES-JB
    6. 4429
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    Explanations

    words related to locations or events

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "some"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lished
    -0.81
    eries
    -0.78
    iversal
    -0.77
    olicy
    -0.71
    Downloadha
    -0.69
    rontal
    -0.69
    reddits
    -0.68
    atever
    -0.66
    lishes
    -0.65
    govtrack
    -0.64
    POSITIVE LOGITS
    ome
    1.25
    lette
    0.84
    lement
    0.81
    gran
    0.76
    ppa
    0.74
     Parenthood
    0.74
    gon
    0.73
    chron
    0.73
    olithic
    0.72
     Curve
    0.70
    Activations Density 0.008%

    No Known Activations