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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. 8-RES-JB
    11. 12881
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    Explanations

    HTML coding elements and attributes

    oai_token-act-pair · gpt-3.5-turbo

    terms related to HTML or web-related attributes and code structures

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ulously
    -0.80
    endum
    -0.74
    erd
    -0.72
    Sync
    -0.72
    iddy
    -0.71
    atorium
    -0.70
    é¾įåĸļ士
    -0.70
    GMT
    -0.70
    ulton
    -0.69
    ophon
    -0.69
    POSITIVE LOGITS
     adversaries
    1.20
     foe
    1.08
     attackers
    1.03
     foes
    1.02
     adversary
    1.00
     predators
    0.99
     attacker
    0.99
     aggress
    0.96
     threats
    0.95
     enemy
    0.94
    Activations Density 0.607%

    No Known Activations