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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. 18465
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    INDEX
    Explanations

    mentions of specific locations within a building or structure

    oai_token-act-pair · gpt-3.5-turbo

    prepositional phrases indicating location or context

    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
    Äĩ
    -0.82
    amount
    -0.81
    ãĤ¼ãĤ¦ãĤ¹
    -0.75
    ÃŁ
    -0.71
    arella
    -0.70
    >(
    -0.70
    REF
    -0.68
    merga
    -0.68
     amount
    -0.66
    phabet
    -0.64
    POSITIVE LOGITS
     Ideal
    0.70
     Stamford
    0.70
     Parliament
    0.67
     unsuspecting
    0.67
     Genius
    0.67
     courthouse
    0.66
     Mt
    0.66
     Notre
    0.64
     Sty
    0.64
     Café
    0.64
    Activations Density 0.191%

    No Known Activations