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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. 3175
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    Explanations

    words related to specific names, particularly variations of the name "Lew"

    oai_token-act-pair · gpt-3.5-turbo

    references to the individual named Lew

    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
    ACTED
    -0.93
     à¨
    -0.78
    CHR
    -0.70
    OPLE
    -0.68
    expr
    -0.67
    thood
    -0.65
    ĸļ
    -0.65
    NetMessage
    -0.65
    ¥µ
    -0.64
    ============
    -0.63
    POSITIVE LOGITS
    andowski
    1.46
    insky
    1.07
    enstein
    0.94
     Lew
    0.90
    inski
    0.89
    etz
    0.88
    ington
    0.88
    lem
    0.86
    sey
    0.86
    Lew
    0.85
    Activations Density 0.021%

    No Known Activations