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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. 320
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    Explanations

    codes or technical information related to computer systems

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or codes related to statistics and measurements

    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
    soDeliveryDate
    -0.85
    theless
    -0.65
    ĸļ
    -0.55
     commissions
    -0.54
     matter
    -0.51
    onyms
    -0.51
    bern
    -0.50
    sand
    -0.46
    ettings
    -0.46
    kefeller
    -0.46
    POSITIVE LOGITS
    ieu
    0.51
    iage
    0.50
     Pwr
    0.49
     Priest
    0.48
    ãĥīãĥ©ãĤ´ãĥ³
    0.48
    FIELD
    0.47
     Ther
    0.44
    illard
    0.44
    urion
    0.43
    ressive
    0.43
    Activations Density 1.086%

    No Known Activations