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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. 8-RES-JB
    6. 5545
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    Explanations

    names of people or places in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    specific names or identifiers related to people, places, or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •EggList

    No Comments

    Negative Logits
     Cassandra
    -0.83
     Brist
    -0.82
     clipboard
    -0.71
     Carnage
    -0.69
     Cass
    -0.66
     cel
    -0.65
     Cas
    -0.65
     Hart
    -0.64
     embr
    -0.64
     Melissa
    -0.64
    POSITIVE LOGITS
    u
    1.55
    Å«
    1.37
    uf
    1.29
    uv
    1.27
    uh
    1.27
    U
    1.26
    uz
    1.24
    uc
    1.24
    uer
    1.23
    ub
    1.23
    Activations Density 0.248%

    No Known Activations