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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. 6-RES-JB
    11. 2569
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    INDEX
    Explanations

    references to widely spread phenomena or beliefs

    oai_token-act-pair · gpt-3.5-turbo

    the term "widespread" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    estamp
    -0.81
    ħĭ
    -0.77
    rament
    -0.77
    izons
    -0.76
    ÄŁ
    -0.76
    aminer
    -0.73
    thur
    -0.73
    men
    -0.70
    pent
    -0.70
    cair
    -0.70
    POSITIVE LOGITS
     worldwide
    0.85
     dissemination
    0.84
    wealth
    0.84
     widespread
    0.83
     adoption
    0.83
     misconception
    0.82
     acclaim
    0.80
     condemnation
    0.80
    ãĥ¥
    0.77
     occurrence
    0.76
    Activations Density 0.021%

    No Known Activations