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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. 5-RES-JB
    6. 18922
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    INDEX
    Explanations

    the word "Iz" and various inflections of it

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the name "Khan" and related characters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quartered
    -0.92
    ¥ŀ
    -0.71
     srf
    -0.67
    riott
    -0.67
     whistle
    -0.67
     hitch
    -0.66
    etheless
    -0.65
     respawn
    -0.64
     horns
    -0.63
     flock
    -0.63
    POSITIVE LOGITS
    arro
    1.31
    ombie
    1.12
    uku
    0.95
    hou
    0.93
    hao
    0.92
    enegger
    0.91
    umi
    0.90
    awa
    0.87
    oids
    0.86
    abal
    0.86
    Activations Density 0.017%

    No Known Activations