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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. 11648
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    Explanations

    references to different camps, possibly related to military or events happening at specific locations named "Camp"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations or facilities, particularly those named "Camp."

    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
    lihood
    -0.86
    dayName
    -0.67
    liness
    -0.65
    pace
    -0.65
     wording
    -0.62
     sv
    -0.59
    SHIP
    -0.58
    iciary
    -0.58
    plays
    -0.57
     language
    -0.57
    POSITIVE LOGITS
    agna
    1.11
    bell
    1.05
    agn
    0.97
    ione
    0.94
    agne
    0.93
    sites
    0.91
    sie
    0.90
    uses
    0.89
    aign
    0.85
    hor
    0.83
    Activations Density 0.040%

    No Known Activations