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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. 3704
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    Explanations

    mentions of the word "Army"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Army or military

    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
    Not in Any Lists

    No Comments

    Negative Logits
    rics
    -0.85
    flush
    -0.78
    iaries
    -0.75
    kj
    -0.74
    hots
    -0.73
    theless
    -0.73
    apest
    -0.73
    furt
    -0.71
    å£
    -0.70
    iously
    -0.69
    POSITIVE LOGITS
     Corps
    1.21
     Reserve
    0.95
     Painter
    0.91
     Depot
    0.90
     fatig
    0.88
     recru
    0.80
     Academy
    0.79
     colonel
    0.79
     Yard
    0.78
     reserv
    0.78
    Activations Density 0.016%

    No Known Activations