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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. 4-RES-JB
    11. 4295
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    Explanations

    words related to a specific department, likely "Department."

    oai_token-act-pair · gpt-3.5-turbo

    references to "Department" or "Dep" related to governmental contexts and activities

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

    No Comments

    Negative Logits
     Pose
    -0.89
    nings
    -0.86
    FORE
    -0.79
    MER
    -0.79
     Hole
    -0.77
    swick
    -0.76
    enegger
    -0.76
    çĦ
    -0.75
    SPONSORED
    -0.74
    çķ
    -0.74
    POSITIVE LOGITS
    artments
    1.10
    recated
    1.08
    utation
    1.05
    ository
    0.99
    ict
    0.98
    arted
    0.97
    uty
    0.97
    osit
    0.96
    orter
    0.93
    leted
    0.93
    Activations Density 0.007%

    No Known Activations