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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. 4-RES-JB
    11. 6229
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    Explanations

    mentions of geographical locations, specifically villages

    oai_token-act-pair · gpt-3.5-turbo

    mentions of villages and their related contexts

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

    No Comments

    Negative Logits
    henko
    -0.82
    zona
    -0.76
    sis
    -0.76
    umbn
    -0.76
    ï¸
    -0.71
    pter
    -0.70
    oric
    -0.70
    reme
    -0.69
    ulative
    -0.69
    andem
    -0.69
    POSITIVE LOGITS
     villages
    0.96
     village
    0.87
    folk
    0.87
     elders
    0.76
     kitchens
    0.76
     outpost
    0.76
     Adin
    0.73
     Village
    0.73
     villagers
    0.73
     Shal
    0.72
    Activations Density 0.020%

    No Known Activations