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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. 24132
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    Explanations

    phrases related to imminent events or danger

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate an urgent threat or danger

    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
    lua
    -0.83
    rooms
    -0.83
    yards
    -0.83
    verbs
    -0.79
     Tycoon
    -0.75
    tein
    -0.74
    jac
    -0.74
    pel
    -0.73
    yer
    -0.73
    Shop
    -0.72
    POSITIVE LOGITS
     doom
    1.09
     imminent
    1.02
     threat
    0.91
     impending
    0.91
     threats
    0.89
     danger
    0.88
     demise
    0.87
     endanger
    0.84
    cffff
    0.83
     peril
    0.82
    Activations Density 0.010%

    No Known Activations