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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. 23756
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    Explanations

    words related to law, government, and security

    oai_token-act-pair · gpt-3.5-turbo

    letters or characters that appear in various contexts in the text

    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
     Cot
    -0.78
     Brach
    -0.77
     Spa
    -0.73
     Watkins
    -0.72
     Leopard
    -0.71
     Gaul
    -0.69
     Tactics
    -0.69
     Kau
    -0.69
     Jagu
    -0.69
     KP
    -0.68
    POSITIVE LOGITS
    vernment
    1.05
    undred
    0.99
    actory
    0.97
    terday
    0.95
    ancial
    0.93
    actly
    0.93
    onymous
    0.89
    udder
    0.87
    iable
    0.86
    iversity
    0.86
    Activations Density 0.159%

    No Known Activations