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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
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    terms related to aviation and aviation regulations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to aviation and its regulations

    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
    ":""},{"
    -0.87
    orah
    -0.84
    hips
    -0.76
    heimer
    -0.71
    gling
    -0.71
    andro
    -0.67
    utsche
    -0.66
    ku
    -0.66
    ãĥİ
    -0.66
    Ķ
    -0.65
    POSITIVE LOGITS
    wings
    1.00
     Aviation
    0.96
     hangar
    0.87
     wing
    0.80
     aviation
    0.80
     Spit
    0.80
     buffs
    0.78
     Airl
    0.77
     Authority
    0.74
    hawk
    0.73
    Activations Density 0.013%

    No Known Activations