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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. 15427
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    timestamps

    oai_token-act-pair · gpt-3.5-turbo

    the word "at" in various contexts

    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
    FTWARE
    -0.74
    reditary
    -0.72
    chuk
    -0.67
    aceutical
    -0.64
    selves
    -0.64
    legate
    -0.60
     Vaugh
    -0.58
    ovych
    -0.57
    bite
    -0.57
     Lucia
    -0.57
    POSITIVE LOGITS
     least
    1.10
    mosp
    0.97
    onement
    0.95
    roph
    0.88
     halftime
    0.88
    yp
    0.85
    hens
    0.81
    letico
    0.75
    rial
    0.75
    las
    0.75
    Activations Density 0.110%

    No Known Activations