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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. 9-RES-JB
    6. 22096
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases introducing descriptions or explanations of various subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ONE
    -0.66
    "},"
    -0.61
     Waiting
    -0.61
    course
    -0.60
    aq
    -0.57
    idious
    -0.57
     Situation
    -0.56
     Intermediate
    -0.56
    æĿ
    -0.55
     COUR
    -0.55
    POSITIVE LOGITS
     utilizes
    1.23
     incorporates
    1.20
     combines
    1.20
     debuted
    1.18
     integrates
    1.16
     collects
    1.16
     originated
    1.15
     specializes
    1.14
     connects
    1.13
     operates
    1.12
    Activations Density 0.211%

    No Known Activations