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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. 6-RES-JB
    6. 6156
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    Explanations

    words related to people's names and titles

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and specific names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     envy
    -0.63
     coli
    -0.59
     plates
    -0.53
     polar
    -0.52
     whales
    -0.52
     apex
    -0.52
     ambassadors
    -0.52
     governors
    -0.51
     hindsight
    -0.50
     alleg
    -0.50
    POSITIVE LOGITS
     Jr
    0.93
    ovich
    0.90
    owski
    0.88
    chuk
    0.86
    ansky
    0.85
    orst
    0.84
    owicz
    0.84
    inski
    0.82
    itz
    0.80
    opoulos
    0.79
    Activations Density 0.332%

    No Known Activations