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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. 1-RES-JB
    11. 11527
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    Explanations

    phrases related to the term "Tri" at varying levels of strength

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Tri" or instances of "Tri" followed by a number

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    manship
    -0.85
    士
    -0.81
    ãĤ¼ãĤ¦ãĤ¹
    -0.78
    Ö¼
    -0.73
    ÑĮ
    -0.72
    20439
    -0.71
    Temperature
    -0.70
    âķIJâķIJ
    -0.69
    66666666
    -0.69
    INESS
    -0.69
    POSITIVE LOGITS
    reme
    0.95
    pling
    0.94
    assic
    0.91
     Tri
    0.88
    ppers
    0.86
    pled
    0.85
    ope
    0.84
    umph
    0.81
    adic
    0.80
    angles
    0.79
    Activations Density 0.007%

    No Known Activations