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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. 24410
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    Explanations

    references to the company GE

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the company General Electric (GE)

    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
    ãĥ£
    -0.90
    selling
    -0.84
    ãĤ±
    -0.84
    inators
    -0.81
    illas
    -0.80
    olulu
    -0.79
    sei
    -0.78
    wagen
    -0.78
    mie
    -0.78
    iel
    -0.78
    POSITIVE LOGITS
    ORGE
    1.34
    FILE
    1.15
    ICO
    1.10
    OPLE
    1.05
    OL
    0.98
    VER
    0.98
    ABLE
    0.95
    OF
    0.95
    LLOW
    0.95
    ALS
    0.94
    Activations Density 0.034%

    No Known Activations