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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. 3-RES-JB
    11. 4429
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    Explanations

    references to ancient cities

    oai_token-act-pair · gpt-3.5-turbo

    references to ancient cities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igham
    -1.02
    etsk
    -0.94
    sembly
    -0.83
    »Ĵ
    -0.82
    wcsstore
    -0.78
    nington
    -0.78
    imilar
    -0.76
    entimes
    -0.75
    arios
    -0.75
    oice
    -0.74
    POSITIVE LOGITS
    scape
    1.23
     dwell
    0.96
    wide
    0.96
     skyline
    0.90
     dwelling
    0.85
     hall
    0.81
     halls
    0.79
     streets
    0.78
     councillor
    0.78
    houses
    0.77
    Activations Density 0.049%

    No Known Activations