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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. 2-RES-JB
    6. 3844
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    INDEX
    Explanations

    proper nouns or named entities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the letter 'W' in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     succeeding
    -0.77
    arial
    -0.77
    displayText
    -0.73
     unpre
    -0.70
     revived
    -0.68
    EStream
    -0.67
     seiz
    -0.65
    illary
    -0.65
    milo
    -0.65
     unarmed
    -0.64
    POSITIVE LOGITS
    atts
    1.19
    ITNESS
    1.15
    edge
    1.10
    atson
    1.07
    OW
    1.07
    ashington
    1.06
    OOD
    1.05
    restling
    1.05
    itness
    1.03
    TF
    1.00
    Activations Density 0.042%

    No Known Activations