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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. 5974
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    Explanations

    terms related to technical processes or instructions

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to processes and mechanisms in various scientific fields

    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
     understatement
    -0.91
    soType
    -0.81
    ¥µ
    -0.77
    Politics
    -0.74
     anniversary
    -0.72
    lik
    -0.72
    BuyableInstoreAndOnline
    -0.72
    Ire
    -0.72
    DCS
    -0.70
    quickShipAvailable
    -0.69
    POSITIVE LOGITS
     electrons
    0.81
    ertodd
    0.79
     transporting
    0.76
     intermediary
    0.76
     transmitting
    0.75
     synchron
    0.75
     artificially
    0.74
     emission
    0.73
     complex
    0.73
     interacting
    0.73
    Activations Density 1.365%

    No Known Activations