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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 10078
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    Explanations

    phrases or words related to legal documents or historical decrees

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific character or symbol

    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
     disadvant
    -0.97
     psychiat
    -0.74
     Palestin
    -0.72
     Vaugh
    -0.71
     princ
    -0.70
     streng
    -0.69
     vulner
    -0.67
     Chero
    -0.67
     Mobil
    -0.65
     unemploy
    -0.65
    POSITIVE LOGITS
    ï¸ı
    0.95
    é¾į
    0.83
    âĹ
    0.80
    æľ
    0.76
    女
    0.76
    rain
    0.73
    âĻ
    0.73
    âĶĢâĶĢ
    0.73
    own
    0.70
    âĸł
    0.70
    Activations Density 0.240%

    No Known Activations