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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. 3-RES-JB
    11. 13568
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    Explanations

    words related to pollution and contamination

    oai_token-act-pair · gpt-3.5-turbo

    terms related to environmental contamination

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    doms
    -0.88
    pir
    -0.82
    umbn
    -0.74
     Kinnikuman
    -0.73
    htar
    -0.72
    arb
    -0.72
    otos
    -0.72
    df
    -0.70
    sword
    -0.70
    reme
    -0.69
    POSITIVE LOGITS
     contamin
    1.26
     contamination
    1.25
     contaminated
    1.22
     contam
    1.10
     contaminants
    1.02
    obyl
    0.96
     polluted
    0.86
     spills
    0.83
     tainted
    0.80
     poisoning
    0.80
    Activations Density 0.020%

    No Known Activations