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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. 7-RES-JB
    11. 3608
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    Explanations

    locations or landmarks in a city or town

    oai_token-act-pair · gpt-3.5-turbo

    references to locations, particularly stations or places connected to transport

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Lear
    -0.73
    SEC
    -0.71
     millenn
    -0.71
    Indian
    -0.70
    Jam
    -0.69
    OND
    -0.68
    ASED
    -0.66
    PDATE
    -0.66
    soDeliveryDate
    -0.65
    STAR
    -0.64
    POSITIVE LOGITS
    enegger
    1.04
    furt
    1.01
    ische
    0.99
    å
    0.97
    mann
    0.96
     Zeit
    0.96
    enstein
    0.96
    berger
    0.94
    shire
    0.93
    ijk
    0.91
    Activations Density 0.168%

    No Known Activations