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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. 6-RES-JB
    11. 5636
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    Explanations

    phrases related to conflict zones or war settings

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to conflict and geopolitical tensions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    âķIJâķIJ
    -0.58
    ophon
    -0.58
     Unloaded
    -0.57
    theless
    -0.57
    é¾įå
    -0.56
    AUD
    -0.56
    utra
    -0.54
    ulhu
    -0.53
     Barron
    -0.53
     fixtures
    -0.53
    POSITIVE LOGITS
     sqor
    0.74
    hire
    0.64
    lander
    0.62
     mobs
    0.61
     [*]
    0.58
    gpu
    0.57
    ullah
    0.56
    heimer
    0.55
     Intent
    0.53
     defenses
    0.53
    Activations Density 1.123%

    No Known Activations