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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. 17047
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    INDEX
    Explanations

    references to a specific entity named "Sentinel" followed by a numerical value

    oai_token-act-pair · gpt-3.5-turbo

    words related to a specific campaign or project called "Risen."

    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
    Not in Any Lists

    No Comments

    Negative Logits
    shaw
    -1.05
    hib
    -0.98
    burning
    -0.90
    bags
    -0.88
    uncle
    -0.86
    bag
    -0.84
    ãĥ£
    -0.83
    unts
    -0.82
    cé
    -0.80
    sat
    -0.80
    POSITIVE LOGITS
     Sentinel
    0.93
     Cald
    0.78
     Wildcats
    0.77
     Jur
    0.71
     Eclipse
    0.70
     Herald
    0.70
     Lucky
    0.69
    OPLE
    0.69
     Dixon
    0.69
     Mariners
    0.68
    Activations Density 0.095%

    No Known Activations