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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. 11-RES-JB
    6. 23358
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    Explanations

    words related to waste management and cleanliness

    oai_token-act-pair · gpt-3.5-turbo

    terms related to waste and trash management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    akening
    -0.75
    ebus
    -0.72
    erity
    -0.71
    essential
    -0.68
    Untitled
    -0.65
    6666
    -0.65
    ONES
    -0.64
    ilitary
    -0.63
     DPR
    -0.63
     Brach
    -0.63
    POSITIVE LOGITS
     disposal
    1.29
     cans
    1.23
     bins
    1.22
     heap
    1.14
     pile
    1.07
     recept
    1.06
     inciner
    1.02
     dumps
    1.02
     bags
    1.01
     piles
    0.98
    Activations Density 0.070%

    No Known Activations