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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. 6-RES-JB
    11. 791
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    Explanations

    information related to event descriptions and dates

    oai_token-act-pair · gpt-3.5-turbo

    information about locations and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    cules
    -0.69
     sten
    -0.69
     carving
    -0.67
     freel
    -0.66
     snowball
    -0.66
     alike
    -0.66
    ovember
    -0.65
    nesday
    -0.65
     Antar
    -0.64
     tunnel
    -0.63
    POSITIVE LOGITS
    Status
    1.10
    Price
    1.06
    Sensor
    1.03
    Availability
    1.00
    Runtime
    0.95
    Tags
    0.94
    Language
    0.93
    Weight
    0.92
    Cost
    0.92
    Posts
    0.92
    Activations Density 0.197%

    No Known Activations