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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. 8-RES-JB
    11. 16717
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    Explanations

    the word "Netanyahu" with varying levels of intensity

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Benjamin Netanyahu

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    teenth
    -0.92
    ively
    -0.80
    ĸļ
    -0.76
    aunder
    -0.74
     Pyth
    -0.73
    Reviewer
    -0.71
    itialized
    -0.71
    lv
    -0.69
    oppy
    -0.68
     Asheville
    -0.67
    POSITIVE LOGITS
    anyahu
    1.27
     Netanyahu
    1.01
    anca
    0.88
     ministerial
    0.85
    stein
    0.83
     Jinping
    0.79
    etz
    0.79
     Aviv
    0.76
    itz
    0.75
     bloc
    0.74
    Activations Density 0.029%

    No Known Activations