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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. 6925
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals associated with certain events or contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ccording
    -1.20
     tremend
    -0.99
    alach
    -0.97
    aditional
    -0.97
     arrang
    -0.88
     conclud
    -0.86
    warts
    -0.86
    everal
    -0.85
     exting
    -0.82
     suspic
    -0.82
    POSITIVE LOGITS
     Oil
    0.90
     End
    0.87
     Wave
    0.86
     Council
    0.84
     Seed
    0.84
     Board
    0.83
     War
    0.82
     City
    0.82
     Watch
    0.81
     Land
    0.81
    Activations Density 0.163%

    No Known Activations