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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. 1-RES-JB
    6. 16816
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    INDEX
    Explanations

    prompts to continue reading a story or article

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to ongoing actions or processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ranch
    -0.82
    otom
    -0.76
    rams
    -0.71
    ura
    -0.68
    ouls
    -0.68
    ramid
    -0.67
    istered
    -0.66
     bounty
    -0.66
     treat
    -0.65
     sucker
    -0.63
    POSITIVE LOGITS
     Continued
    1.07
     Continue
    1.06
    CLASSIFIED
    0.89
    ...]
    0.87
     Transcript
    0.81
    verett
    0.78
     convol
    0.76
     Loading
    0.75
    Reviewer
    0.75
     Advertisement
    0.74
    Activations Density 0.009%

    No Known Activations