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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
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    Explanations

    military units and their designations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    mentions of military units, such as battalions and regiments

    oai_token-act-pair · gpt-3.5-turbo
    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
    Not in Any Lists

    No Comments

    Negative Logits
    Consumer
    -0.79
    Leaks
    -0.78
     straw
    -0.71
    piration
    -0.66
    plays
    -0.66
    Bloomberg
    -0.64
    falls
    -0.63
    lash
    -0.62
     Lover
    -0.62
    mberg
    -0.61
    POSITIVE LOGITS
    rons
    1.42
    alions
    1.39
     colonel
    1.19
    alion
    1.15
     stationed
    1.12
     commander
    1.12
     regiment
    1.09
     commanders
    1.02
     Regiment
    0.97
     platoon
    0.97
    Activations Density 0.090%

    No Known Activations