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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. 10-RES-JB
    11. 8285
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    Explanations

    dates and times in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    specific dates and times

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     cannabin
    -0.91
     faked
    -0.75
     exploded
    -0.73
     exoner
    -0.72
     lubric
    -0.72
     botched
    -0.71
     endors
    -0.71
     corrobor
    -0.70
    abase
    -0.69
     shrew
    -0.69
    POSITIVE LOGITS
     Admission
    1.17
     TBA
    1.17
     noon
    1.16
     TBD
    1.14
     Doors
    1.05
     Dinner
    1.02
     Closed
    1.02
     Registration
    1.01
     Tickets
    1.00
    noon
    0.99
    Activations Density 0.188%

    No Known Activations