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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
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    Explanations

    references to specific locations, especially cities and streets

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations, particularly the names of cities and streets

    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
     Enrique
    -0.74
    catentry
    -0.68
    itarian
    -0.64
    growth
    -0.64
    ãĤº
    -0.63
    thood
    -0.63
     Gupta
    -0.63
    eq
    -0.62
    iyah
    -0.61
    ARDS
    -0.61
    POSITIVE LOGITS
     Rochester
    1.01
    shire
    0.92
     Armory
    0.91
     Borough
    0.83
    issance
    0.78
     Roads
    0.77
     Falls
    0.74
     Township
    0.72
    anton
    0.67
     Bucks
    0.67
    Activations Density 0.009%

    No Known Activations