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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. 2675
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    Explanations

    instances in which the word "it" is emphasized

    oai_token-act-pair · gpt-3.5-turbo

    the word "it" 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
    911
    -0.77
     Guant
    -0.73
    Priv
    -0.71
     Breast
    -0.68
     Transcript
    -0.68
     Franc
    -0.67
     Friend
    -0.67
    inqu
    -0.67
     Institution
    -0.66
    priv
    -0.66
    POSITIVE LOGITS
    alian
    1.15
    chy
    1.07
    asca
    1.04
    unes
    1.00
     pains
    0.90
    self
    0.88
     ain
    0.88
     didnt
    0.87
     seems
    0.87
    sterdam
    0.86
    Activations Density 0.399%

    No Known Activations