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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. 7-RES-JB
    6. 5915
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    Explanations

    words related to scientific theories and hypotheses

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to scientific inquiry and hypotheses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.85
    çīĪ
    -0.79
    ©¶æ¥µ
    -0.78
    senal
    -0.72
    BuyableInstoreAndOnline
    -0.71
    cussion
    -0.69
    audi
    -0.67
     Werewolf
    -0.64
    Camp
    -0.63
    Shield
    -0.63
    POSITIVE LOGITS
     abstract
    0.86
     oneself
    0.80
     determin
    0.76
     intellig
    0.75
     uncond
    0.74
     stimulus
    0.74
     imperfect
    0.73
     finite
    0.73
     intrinsically
    0.72
     necessarily
    0.72
    Activations Density 1.345%

    No Known Activations