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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. 11920
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    Explanations

    keywords related to environmental degradation, such as deforestation and clearing of land

    oai_token-act-pair · gpt-3.5-turbo

    instances of a specific character or symbol

    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
     shack
    -0.72
     minim
    -0.71
     gib
    -0.65
     guiActiveUnfocused
    -0.65
     maxim
    -0.63
     Naz
    -0.62
     retreat
    -0.62
     shelf
    -0.62
     wand
    -0.62
     microphone
    -0.61
    POSITIVE LOGITS
    £
    1.09
    ¡
    1.01
    ı
    0.99
    Ĵ
    0.98
    ¢
    0.94
    especially
    0.94
    IJ
    0.93
    perhaps
    0.92
    sure
    0.90
    ®
    0.90
    Activations Density 0.452%

    No Known Activations