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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. 8-RES-JB
    11. 23577
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    Explanations

    words related to accidents, disasters, or negative events

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "great" or related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mub
    -0.71
     depreciation
    -0.59
     CBI
    -0.58
    izable
    -0.58
     lobby
    -0.57
    ortmund
    -0.57
    hur
    -0.56
     Nationwide
    -0.56
    è¦ļéĨĴ
    -0.55
     attm
    -0.55
    POSITIVE LOGITS
    wald
    0.88
    eton
    0.87
    poon
    0.87
    cale
    0.79
    hemy
    0.77
    emouth
    0.76
    wine
    0.76
    heit
    0.74
    esome
    0.71
    cone
    0.71
    Activations Density 0.078%

    No Known Activations