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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. 18534
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    Explanations

    words related to luring or enticing others

    oai_token-act-pair · gpt-3.5-turbo

    terms related to bait and deception

    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
    ppard
    -0.75
    Rated
    -0.69
     Universities
    -0.69
    affer
    -0.67
     Affairs
    -0.66
    yrus
    -0.65
    âĹ¼
    -0.63
    blance
    -0.62
    profit
    -0.62
    profits
    -0.62
    POSITIVE LOGITS
     bait
    1.30
    fish
    1.02
    mong
    0.98
     ba
    0.95
     lure
    0.85
     traps
    0.78
    glers
    0.78
    gey
    0.75
     fishing
    0.75
     fish
    0.75
    Activations Density 0.008%

    No Known Activations