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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. 409
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    Explanations

    specific locations mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to specific cities and towns

    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
    wcsstore
    -0.97
     Rider
    -0.76
    Lear
    -0.75
    PLA
    -0.72
    igham
    -0.72
    ornia
    -0.71
    anson
    -0.71
    Leary
    -0.71
    ĸļ
    -0.71
     Robotics
    -0.70
    POSITIVE LOGITS
     Homs
    0.96
     Aleppo
    0.89
     Mosul
    0.87
     Idlib
    0.85
    scape
    0.85
    houses
    0.83
     Mahmoud
    0.83
     Abbas
    0.82
     Baghdad
    0.81
     Donetsk
    0.81
    Activations Density 0.095%

    No Known Activations