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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 4023
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    Explanations

    phrases related to disposing of items

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to waste management and disposal

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zai
    -0.75
    raltar
    -0.74
    hetti
    -0.73
    orsi
    -0.73
    berra
    -0.71
    mpeg
    -0.70
    antha
    -0.70
    hemat
    -0.68
    sky
    -0.67
    urity
    -0.66
    POSITIVE LOGITS
     dispose
    1.05
     disposed
    1.00
     dispos
    0.97
    itionally
    0.90
    ables
    0.88
    itures
    0.84
    ptions
    0.84
     Waste
    0.83
     disposal
    0.83
    itional
    0.83
    Activations Density 0.073%

    No Known Activations