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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. 3-RES-JB
    6. 14558
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    INDEX
    Explanations

    mentions of specific names or terms with varied linguistic structures

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, especially names and brands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     BI
    -0.55
    ¶ħ
    -0.53
     CONT
    -0.52
    semb
    -0.51
    taboola
    -0.51
     CONTR
    -0.50
    tags
    -0.50
     ASP
    -0.49
      
    -0.49
     recru
    -0.48
    POSITIVE LOGITS
    unia
    0.67
    idia
    0.67
    hess
    0.66
    veland
    0.61
    REDACTED
    0.60
    ë
    0.58
    enges
    0.58
    ragon
    0.57
    inces
    0.57
    ledge
    0.56
    Activations Density 0.623%

    No Known Activations