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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. 11-RES-JB
    11. 8832
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    Explanations

    phrases containing the characters "âĢ"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "don't" or its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     RAD
    -0.67
     board
    -0.62
     Libyan
    -0.62
     Bil
    -0.61
     blanket
    -0.60
     retreat
    -0.59
     Pacific
    -0.58
     Sapphire
    -0.58
     Pil
    -0.58
     Virgin
    -0.56
    POSITIVE LOGITS
    ¬
    1.30
    Į
    1.29
    į
    1.22
    Ń
    1.21
    ¿
    1.21
    ¹
    1.20
    ı
    1.20
    £
    1.18
    ¡
    1.16
    º
    1.15
    Activations Density 0.238%

    No Known Activations