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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. 12-RES-JB
    11. 2404
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    INDEX
    Explanations

    locations such as cities and states

    oai_token-act-pair · gpt-3.5-turbo
    Triggered by @bot

    names of locations and municipalities

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     STATS
    -0.66
    measures
    -0.64
    DERR
    -0.64
    channelAvailability
    -0.62
     Lavrov
    -0.62
     showcased
    -0.61
     Enrique
    -0.60
    ptoms
    -0.60
     Madagascar
    -0.58
    leaders
    -0.57
    POSITIVE LOGITS
     suburb
    1.08
     woman
    1.00
     native
    1.00
     resident
    0.94
     grandmother
    0.93
     man
    0.92
     couple
    0.90
     teenager
    0.89
     waitress
    0.89
     restaur
    0.86
    Activations Density 0.145%

    No Known Activations