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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. 3-RES-JB
    6. 1038
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    Explanations

    parts of names or terms

    oai_token-act-pair · gpt-3.5-turbo

    words related to car parts or automotive terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     indebted
    -0.64
    prime
    -0.57
    krit
    -0.56
     Blumenthal
    -0.56
    factor
    -0.56
     Imran
    -0.54
     cue
    -0.53
     Revenge
    -0.53
     animate
    -0.53
    ional
    -0.53
    POSITIVE LOGITS
    utical
    0.85
    onne
    0.84
    heid
    0.77
    bean
    0.76
    ãĤ¼ãĤ¦ãĤ¹
    0.74
    ohyd
    0.74
    steen
    0.72
    imeter
    0.72
    anwhile
    0.68
    reau
    0.68
    Activations Density 0.191%

    No Known Activations