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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. 12770
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    ebted
    -0.84
     Faw
    -0.80
    BuyableInstoreAndOnline
    -0.70
    vier
    -0.65
    cliffe
    -0.64
     Druid
    -0.64
     WARN
    -0.63
     Starr
    -0.63
     Barton
    -0.62
    staking
    -0.61
    POSITIVE LOGITS
    ¹
    1.38
    Ĵ
    1.34
    Ķ
    1.31
    Ŀ
    1.31
    ¿
    1.31
    ³
    1.30
    ¡
    1.29
    ±
    1.28
    ł
    1.26
    ·
    1.25
    Activations Density 0.008%

    No Known Activations