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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. 5-RES-JB
    6. 11599
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    Explanations

    mentions of the automotive industry

    oai_token-act-pair · gpt-3.5-turbo

    references to the automotive industry and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mary
    -0.79
    lihood
    -0.78
    WHERE
    -0.70
    waters
    -0.70
    water
    -0.67
     Mara
    -0.67
     Wad
    -0.66
    ÏĤ
    -0.66
     Birch
    -0.66
     Higgins
    -0.65
    POSITIVE LOGITS
    otive
    1.41
    obiles
    1.40
    obile
    1.32
    obil
    1.04
    agically
    1.03
    merce
    0.96
    atically
    0.93
    aton
    0.91
    agy
    0.90
    ated
    0.90
    Activations Density 0.014%

    No Known Activations