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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. 5292
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    Explanations

    technical terms related to online privacy and security, specifically related to unmasking or deanonymizing Tor users

    oai_token-act-pair · gpt-3.5-turbo

    terms related to the bypassing or revealing of anonymous online identities

    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
    ļéĨĴ
    -0.76
    tery
    -0.73
     Carbuncle
    -0.71
    ggies
    -0.70
     Christy
    -0.65
    cium
    -0.64
     Candle
    -0.64
     Staples
    -0.63
     Defenders
    -0.63
     Simmons
    -0.63
    POSITIVE LOGITS
    ailable
    0.95
    ploy
    0.93
    ixed
    0.93
    apper
    0.88
    igration
    0.87
    apping
    0.87
    ovable
    0.86
    igr
    0.86
    afia
    0.85
    ãĤ£
    0.85
    Activations Density 0.008%

    No Known Activations