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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. 9076
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    INDEX
    Explanations

    words related to lists, rankings, and recommendations

    oai_token-act-pair · gpt-3.5-turbo

    references to films and related categories such as sites, projects, and keywords

    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
    pter
    -0.67
    roth
    -0.65
    atorium
    -0.65
    bah
    -0.65
    raq
    -0.63
    nee
    -0.63
     Dhabi
    -0.63
    grad
    -0.61
    rontal
    -0.60
    ople
    -0.60
    POSITIVE LOGITS
    eries
    1.00
     vying
    0.95
     grouped
    0.84
     individually
    0.70
    earch
    0.70
     listed
    0.69
    ource
    0.68
     spawned
    0.67
     competed
    0.67
     competing
    0.67
    Activations Density 0.439%

    No Known Activations