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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 4789
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    INDEX
    Explanations

    number pairs or sets

    oai_token-act-pair · gpt-3.5-turbo

    phrases referring to pairs or groups of items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    racuse
    -0.84
    fw
    -0.75
    Downloadha
    -0.72
    Fu
    -0.70
    np
    -0.67
    ér
    -0.65
    akin
    -0.64
    biz
    -0.63
    obbies
    -0.63
    abus
    -0.62
    POSITIVE LOGITS
     extremes
    1.01
     paragraphs
    0.85
     alone
    0.83
     gentlemen
    0.82
     separately
    0.82
     factors
    0.81
     halves
    0.80
     endeavors
    0.80
     individually
    0.79
    worldly
    0.76
    Activations Density 0.069%

    No Known Activations