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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
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    Explanations

    mentions of geographical locations

    oai_token-act-pair · gpt-3.5-turbo

    geographical references and specific locations in relation to water bodies

    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
    RM
    -0.74
    oyal
    -0.74
    ãĥģ
    -0.72
     assistants
    -0.72
    ij士
    -0.68
    itely
    -0.68
    MJ
    -0.68
     accuser
    -0.68
    iously
    -0.67
     discretion
    -0.67
    POSITIVE LOGITS
     lakes
    0.97
    near
    0.96
     inhabited
    0.93
     valleys
    0.91
     Basin
    0.89
     rivers
    0.88
     Ruins
    0.87
     wetlands
    0.87
     southeastern
    0.87
     populated
    0.86
    Activations Density 0.792%

    No Known Activations