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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. 6-RES-JB
    11. 4430
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    Explanations

    words related to concerns or potential negative outcomes

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to fears, concerns, and speculation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Zip
    -0.71
    Gall
    -0.66
    bons
    -0.62
    orse
    -0.60
     paycheck
    -0.59
    OPS
    -0.59
    ones
    -0.57
    ucky
    -0.56
    heres
    -0.55
     Ore
    -0.55
    POSITIVE LOGITS
    pread
    0.91
    uggest
    0.76
     questioning
    0.75
    oldown
    0.74
     abound
    0.70
     ranging
    0.69
     alleging
    0.69
    è¦ļéĨĴ
    0.68
     mounting
    0.68
     linking
    0.65
    Activations Density 0.163%

    No Known Activations