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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. 12724
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    INDEX
    Explanations

    words related to exploration or expeditions

    oai_token-act-pair · gpt-3.5-turbo

    words related to expeditions and exploration

    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
    colo
    -0.86
    corn
    -0.86
    creen
    -0.82
    cher
    -0.70
    lined
    -0.69
     basil
    -0.67
     Klu
    -0.65
    gage
    -0.65
    ched
    -0.64
    practice
    -0.62
    POSITIVE LOGITS
     expedition
    1.18
     Expedition
    1.14
    ary
    0.98
     Everest
    0.97
    ogue
    0.93
    arily
    0.91
     voy
    0.89
     explorer
    0.86
     exped
    0.86
     Explorer
    0.84
    Activations Density 0.030%

    No Known Activations