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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. 2-RES-JB
    6. 4999
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to unusual or non-standard terms and names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CLSID
    -0.43
     examiner
    -0.41
     reused
    -0.40
     host
    -0.40
     guid
    -0.39
     preserved
    -0.39
     Dominican
    -0.39
     transition
    -0.39
     subdiv
    -0.38
     starter
    -0.38
    POSITIVE LOGITS
    etheless
    0.62
    oche
    0.55
    astic
    0.55
    terness
    0.55
    asma
    0.54
    lement
    0.53
    theless
    0.53
    ove
    0.53
    ffect
    0.52
    asy
    0.52
    Activations Density 1.718%

    No Known Activations