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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. 4-RES-JB
    11. 22557
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    oai_token-act-pair · gpt-3.5-turbo

    references to stock photos and their sources

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

    No Comments

    Negative Logits
    BLE
    -0.77
    undai
    -0.74
     Antar
    -0.72
     phased
    -0.70
    éĹ
    -0.68
    sole
    -0.68
     hosp
    -0.65
     estab
    -0.65
     safegu
    -0.64
    naires
    -0.64
    POSITIVE LOGITS
    holm
    1.13
    holders
    1.06
    yards
    1.04
    holder
    1.00
    ings
    0.99
    still
    0.90
    yard
    0.90
    photo
    0.89
    otle
    0.88
    dale
    0.85
    Activations Density 0.014%

    No Known Activations