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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. 2-RES-JB
    11. 1636
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    Explanations

    words related to intentionally or purposely doing something

    oai_token-act-pair · gpt-3.5-turbo

    words related to intentional actions or deception

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rite
    -0.73
    busters
    -0.70
     HERO
    -0.69
     Millennium
    -0.66
     Yorkers
    -0.65
    addons
    -0.65
     Warriors
    -0.64
     Tycoon
    -0.64
     Mour
    -0.63
    Rated
    -0.61
    POSITIVE LOGITS
     planted
    0.92
     deliberately
    0.86
     plotted
    0.84
     intentionally
    0.82
     sacrificed
    0.81
     disreg
    0.80
     indul
    0.80
    ãĤ©
    0.75
     inh
    0.74
     behaved
    0.74
    Activations Density 0.011%

    No Known Activations