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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. 5660
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    Explanations

    names or terms related to military organizations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of military units or battalions

    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
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    No Comments

    Negative Logits
    çīĪ
    -0.81
    terday
    -0.75
    794
    -0.70
    çĶŁ
    -0.68
    596
    -0.67
     wee
    -0.66
     Âł Âł Âł Âł
    -0.65
    士
    -0.65
    ãĥĪ
    -0.65
    é¾įå
    -0.63
    POSITIVE LOGITS
    leground
    1.41
    alions
    1.37
    anooga
    1.06
    eenth
    1.02
    itude
    1.02
     Batt
    0.98
    raph
    0.94
    auld
    0.93
    lest
    0.91
    lett
    0.89
    Activations Density 0.007%

    No Known Activations