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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. 4883
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    Explanations

    words related to the names "Xia" and "Monroe"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, particularly political figures

    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
    iesta
    -0.79
    boxes
    -0.78
    ergy
    -0.75
    alist
    -0.74
    imony
    -0.73
    ational
    -0.72
    udo
    -0.71
    noon
    -0.70
    crew
    -0.68
    EMENT
    -0.67
    POSITIVE LOGITS
    ¥ŀ
    0.76
     healed
    0.73
     ransomware
    0.71
     bapt
    0.70
     Vlad
    0.70
     magnitude
    0.69
     Nikola
    0.69
    ©¶æ¥µ
    0.68
    lda
    0.68
    MpServer
    0.68
    Activations Density 0.018%

    No Known Activations