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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. 7591
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    Explanations

    words related to business activities or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to business models

    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
    alys
    -0.68
    netflix
    -0.68
    arity
    -0.67
    stals
    -0.67
    aired
    -0.65
     Shards
    -0.61
     Janeiro
    -0.61
    ifer
    -0.61
    gger
    -0.61
    adow
    -0.60
    POSITIVE LOGITS
    INESS
    0.98
     dealings
    0.95
     owners
    0.92
    Desk
    0.91
     ventures
    0.86
     empire
    0.86
     mogul
    0.84
    woman
    0.81
    ONSORED
    0.79
     enterprises
    0.78
    Activations Density 0.038%

    No Known Activations