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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. 4-RES-JB
    11. 6546
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    Explanations

    mentions of acts of sabotage or salvaging

    oai_token-act-pair · gpt-3.5-turbo

    terms related to actions of destruction or damage

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

    No Comments

    Negative Logits
    esan
    -0.81
    ternity
    -0.81
    guyen
    -0.80
    shire
    -0.77
    iquette
    -0.76
    soever
    -0.76
    ewitness
    -0.71
    ithe
    -0.69
    ascar
    -0.68
    alties
    -0.67
    POSITIVE LOGITS
     salv
    0.97
     sabotage
    0.88
     sabot
    0.87
     torpedo
    0.85
     salvage
    0.78
     siph
    0.73
     Ding
    0.71
     decomp
    0.69
    aging
    0.67
    aged
    0.67
    Activations Density 0.025%

    No Known Activations