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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. 6-RES-JB
    6. 5888
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    Explanations

    phrases where something is physically attached to something else

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving attachments to items or concepts

    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
    士
    -0.74
    ;;;;;;;;;;;;
    -0.71
    Cola
    -0.70
    uddin
    -0.69
    inventoryQuantity
    -0.65
     Kardashian
    -0.65
    baum
    -0.64
     understatement
    -0.64
    utenberg
    -0.64
    enthal
    -0.63
    POSITIVE LOGITS
     thereto
    1.04
    pole
    0.82
     attach
    0.80
     detach
    0.79
     attached
    0.77
    nect
    0.77
    ments
    0.74
    eret
    0.74
     securely
    0.72
     cord
    0.72
    Activations Density 0.028%

    No Known Activations