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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. 2045
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    Explanations

    references to the model "Mi" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    references to specific models of Xiaomi smartphones

    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
    âķIJâķIJ
    -0.91
    stall
    -0.91
    */(
    -0.85
    tyard
    -0.80
    rition
    -0.78
    ãĥ¼ãĥĨ
    -0.78
    tons
    -0.74
    swick
    -0.74
    lain
    -0.73
     laureate
    -0.73
    POSITIVE LOGITS
    Mi
    0.98
     Mi
    0.95
    ugi
    0.93
    omi
    0.93
    ata
    0.89
    azo
    0.87
    othal
    0.87
    ota
    0.85
    oche
    0.85
    owa
    0.82
    Activations Density 0.015%

    No Known Activations