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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. 21988
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    Explanations

    phrases related to chaos and destruction

    oai_token-act-pair · gpt-3.5-turbo

    references to destruction or damage

    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
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    Negative Logits
    cius
    -0.94
    istrates
    -0.74
    ulton
    -0.69
    rity
    -0.69
    ilipp
    -0.67
    raviolet
    -0.66
     advisers
    -0.65
    akov
    -0.63
     transition
    -0.62
    isma
    -0.61
    POSITIVE LOGITS
     havoc
    1.66
     wre
    1.17
     wreck
    0.89
    wreck
    0.85
    cks
    0.80
     wrought
    0.79
    load
    0.77
    rodu
    0.76
    ;;;;;;;;
    0.75
    *=-
    0.75
    Activations Density 0.052%

    No Known Activations