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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. 6-RES-JB
    6. 15765
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    Explanations

    specific instances or examples of something

    oai_token-act-pair · gpt-3.5-turbo

    the word "particular" and its variations to identify specific instances or features within the content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    BIL
    -0.77
    Adds
    -0.75
    bridge
    -0.74
    ORTS
    -0.72
     Lauder
    -0.72
    FORE
    -0.71
    cloth
    -0.71
    frog
    -0.70
    chens
    -0.69
    Delete
    -0.69
    POSITIVE LOGITS
    ities
    1.12
    ity
    0.86
    ised
    0.86
    ties
    0.81
     identifiable
    0.81
     embodiments
    0.80
     subset
    0.80
     kinds
    0.80
    itarian
    0.78
    iates
    0.76
    Activations Density 0.024%

    No Known Activations