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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. 1-RES-JB
    6. 12824
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    Explanations

    strong negative connotations

    oai_token-act-pair · gpt-3.5-turbo

    instances or expressions of the word "dumb" 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
    AUT
    -0.74
    aunder
    -0.70
    thus
    -0.69
    ________________________________________________________________
    -0.69
    cially
    -0.66
    tes
    -0.66
    aukee
    -0.66
    Downloadha
    -0.65
    TOR
    -0.65
    OHN
    -0.65
    POSITIVE LOGITS
     dumb
    1.15
    bell
    0.90
    founded
    0.88
    wallet
    0.87
     Dumb
    0.84
    glers
    0.83
     stupid
    0.82
    gest
    0.80
     reflex
    0.78
     Stupid
    0.78
    Activations Density 0.002%

    No Known Activations