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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. 0-RES-JB
    11. 467
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    Explanations

    proper nouns related to specific geographical locations

    oai_token-act-pair · gpt-3.5-turbo

    references to the Great Lakes region

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sem
    -0.66
    iety
    -0.66
     aven
    -0.65
     div
    -0.64
    VER
    -0.62
     sup
    -0.61
     token
    -0.61
    pal
    -0.59
     pc
    -0.58
     opponent
    -0.58
    POSITIVE LOGITS
     Lakes
    4.13
     lakes
    2.05
     Lake
    1.68
    Lake
    1.55
     Plains
    1.33
     lake
    1.31
     Rocks
    1.18
     Basin
    1.18
     Hills
    1.17
     Peaks
    1.14
    Activations Density 0.010%

    No Known Activations