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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
    11. 15987
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    Explanations

    phrases related to specific names and possibly locations

    oai_token-act-pair · gpt-3.5-turbo

    specific names or references related to individuals and kosher food

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cong
    -0.75
    growth
    -0.75
    lings
    -0.74
    ellig
    -0.74
     Recomm
    -0.74
    ling
    -0.73
    nesses
    -0.71
    liness
    -0.70
    ridge
    -0.67
    ledge
    -0.67
    POSITIVE LOGITS
    ÃįÃį
    0.78
    icter
    0.76
    osher
    0.75
    aughtered
    0.75
    atural
    0.74
    rontal
    0.72
    itation
    0.71
    catentry
    0.69
    ities
    0.69
    atorial
    0.67
    Activations Density 0.029%

    No Known Activations