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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. 10-RES-JB
    11. 4686
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    Explanations

    phrases related to locations or destinations

    oai_token-act-pair · gpt-3.5-turbo

    locations or places referenced in various contexts

    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
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    Negative Logits
     centrif
    -0.84
    anasia
    -0.76
    nikov
    -0.72
    bench
    -0.69
     wielded
    -0.68
    hemy
    -0.68
    ibur
    -0.67
    ascript
    -0.66
    atari
    -0.66
    MpServer
    -0.65
    POSITIVE LOGITS
     NYC
    1.48
     Downtown
    1.32
     Melbourne
    1.30
     downtown
    1.27
     Vancouver
    1.27
     Sydney
    1.26
     Minneapolis
    1.24
     Nashville
    1.24
     Philly
    1.24
     Seattle
    1.24
    Activations Density 0.426%

    No Known Activations