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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. 3-RES-JB
    11. 24198
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    Explanations

    numbers or numerical patterns

    oai_token-act-pair · gpt-3.5-turbo

    variations of the suffix "ion."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     DRAG
    -0.90
     behavi
    -0.74
    Matrix
    -0.70
    UCT
    -0.67
    ãĤ±
    -0.66
    ModLoader
    -0.65
    PLA
    -0.65
    ORN
    -0.64
    ãĤ¹ãĥĪ
    -0.64
    ä½ľ
    -0.64
    POSITIVE LOGITS
    eteen
    1.00
    ths
    0.85
    negie
    0.80
    een
    0.80
    kees
    0.80
    entimes
    0.76
    omsday
    0.75
    omore
    0.74
    teen
    0.73
     CFR
    0.71
    Activations Density 0.087%

    No Known Activations