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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. 10-RES-JB
    6. 17073
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to legal processes or implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Warp
    -0.69
     Helm
    -0.68
     Jagu
    -0.65
    BuyableInstoreAndOnline
    -0.65
     Abbas
    -0.63
     Chop
    -0.63
     Spark
    -0.62
    åī
    -0.61
    åij
    -0.60
     Codec
    -0.58
    POSITIVE LOGITS
    ruary
    1.22
    ividual
    1.17
    erent
    1.14
    ecause
    1.08
    icient
    1.06
    nesday
    1.06
    ould
    1.04
     tion
    1.04
    pecially
    1.03
    sic
    1.03
    Activations Density 0.751%

    No Known Activations