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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
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    Explanations

    matches related to the term "Tri"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Tri" followed by numerical values

    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
    manship
    -0.99
     deduction
    -0.70
    ãĤ¼ãĤ¦ãĤ¹
    -0.70
     deed
    -0.68
    ãģĭ
    -0.66
    66666666
    -0.66
    TPS
    -0.66
     saline
    -0.66
    INESS
    -0.66
    lain
    -0.66
    POSITIVE LOGITS
    pling
    1.07
    assic
    1.04
    ples
    0.93
    quel
    0.92
    angular
    0.90
    pped
    0.90
    reme
    0.90
    angles
    0.89
    pled
    0.89
    umph
    0.87
    Activations Density 0.007%

    No Known Activations