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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. 11-RES-JB
    11. 22425
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    Explanations

    scheduled events or activities involving individuals

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to scheduled or planned events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abiding
    -0.73
    livion
    -0.70
    Buyable
    -0.66
     abyss
    -0.65
    76561
    -0.65
    monster
    -0.65
     hybrids
    -0.63
     paranoia
    -0.63
    Cra
    -0.62
    ItemTracker
    -0.62
    POSITIVE LOGITS
     keynote
    1.49
     attend
    1.39
     speak
    1.36
     meet
    1.30
     testify
    1.26
     visit
    1.18
     lecture
    1.16
     conven
    1.16
     attends
    1.15
     participate
    1.13
    Activations Density 0.233%

    No Known Activations