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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. 6434
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    Explanations

    statements related to construction or building

    oai_token-act-pair · gpt-3.5-turbo

    the word "built" in various contexts

    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
    sen
    -0.77
     Chance
    -0.72
     Ramos
    -0.72
    ino
    -0.72
    andum
    -0.70
    nee
    -0.69
    mun
    -0.68
     Kris
    -0.67
    Asia
    -0.66
     Staples
    -0.65
    POSITIVE LOGITS
     constructed
    0.94
    built
    0.94
     Seym
    0.86
    urally
    0.86
     built
    0.81
     horizont
    0.80
     erected
    0.77
     condem
    0.75
    smanship
    0.75
    ural
    0.74
    Activations Density 0.022%

    No Known Activations