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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. 10-RES-JB
    6. 8887
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    Explanations

    words related to transportation methods like boats, helicopters, buses, and cars

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of vehicles and physical objects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Relations
    -0.67
     Lifetime
    -0.67
    Solution
    -0.67
    ISA
    -0.67
     Investor
    -0.66
    ploma
    -0.65
    ãĥį
    -0.65
    Secondly
    -0.65
     Identity
    -0.64
    mbudsman
    -0.64
    POSITIVE LOGITS
     dotted
    1.26
     stacked
    1.20
     scattered
    1.17
     lined
    1.17
    hips
    1.16
     clustered
    1.15
     overflowing
    1.12
     stre
    1.12
     disg
    1.12
     abound
    1.10
    Activations Density 0.280%

    No Known Activations