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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. 3265
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    Explanations

    commands and instructions related to software development

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "with" highlighting connections or associations in various contexts

    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
    Angelo
    -0.75
    insula
    -0.69
    sylvania
    -0.67
    jing
    -0.67
     âĢİ
    -0.66
    ights
    -0.66
    zon
    -0.65
    orah
    -0.62
    ajor
    -0.61
    ÄŁ
    -0.61
    POSITIVE LOGITS
     regard
    1.37
    stood
    1.33
     regards
    1.26
     impunity
    1.17
    drawn
    1.15
    draw
    1.14
    standing
    1.09
     respect
    1.08
    holding
    0.97
     ease
    0.80
    Activations Density 0.184%

    No Known Activations