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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. 11-RES-JB
    11. 4883
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    Explanations

    information related to military personnel and units

    oai_token-act-pair · gpt-3.5-turbo

    military units and ranks within a historical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     refere
    -0.81
     cous
    -0.78
     blasp
    -0.77
     blackmail
    -0.75
     blasphemy
    -0.74
     woo
    -0.72
     telev
    -0.72
     greed
    -0.71
     podium
    -0.71
     portals
    -0.70
    POSITIVE LOGITS
     Infantry
    1.73
     Regiment
    1.45
     Marines
    1.41
     Battalion
    1.38
     Corps
    1.36
     Squadron
    1.27
     Armored
    1.27
     Brigade
    1.27
     Army
    1.27
     infantry
    1.25
    Activations Density 0.206%

    No Known Activations