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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. 1-RES-JB
    11. 14101
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    Explanations

    locations or references to warehouses

    oai_token-act-pair · gpt-3.5-turbo

    references to storage locations or structures, specifically warehouses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nir
    -0.74
    bernatorial
    -0.64
    icides
    -0.63
     eminent
    -0.62
    ittance
    -0.62
    undai
    -0.62
    thood
    -0.61
    anan
    -0.61
     Recomm
    -0.61
    adic
    -0.60
    POSITIVE LOGITS
     warehouse
    1.31
     warehouses
    1.14
     Warehouse
    1.02
    yard
    0.88
    ãĥ¼ãĥĨãĤ£
    0.86
     guiActiveUnfocused
    0.83
    chwitz
    0.79
     hangar
    0.79
     shelves
    0.76
    smanship
    0.75
    Activations Density 0.007%

    No Known Activations