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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. 9-RES-JB
    6. 2582
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    Explanations

    locations or buildings with specific purposes or functions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various types of buildings and community structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yon
    -0.70
    ãĥĥãĥī
    -0.70
    ãģĹ
    -0.64
    Force
    -0.60
    latest
    -0.60
     polymer
    -0.59
     saliva
    -0.59
    ãģĦ
    -0.59
     anger
    -0.58
    ynes
    -0.57
    POSITIVE LOGITS
     situated
    1.17
     located
    1.15
     Located
    1.08
     annex
    1.02
     housed
    0.94
     entrance
    0.93
     erected
    0.93
    Located
    0.92
     renovation
    0.89
     staffed
    0.89
    Activations Density 0.334%

    No Known Activations