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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. 8-RES-JB
    11. 8017
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    Explanations

    phrases indicating a specific position or status of something or someone

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate positions or states of being at the forefront of situations or issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    kai
    -0.63
     batches
    -0.62
    bots
    -0.61
    LOG
    -0.59
     Reb
    -0.59
    dit
    -0.58
    azel
    -0.58
    ventory
    -0.58
     Adin
    -0.58
     McGee
    -0.57
    POSITIVE LOGITS
     forefront
    1.45
     mercy
    1.14
     disadvantage
    0.95
     disposal
    0.93
     intersection
    0.90
     lookout
    0.89
     expense
    0.89
     beck
    0.88
     extremes
    0.88
     brink
    0.87
    Activations Density 0.109%

    No Known Activations