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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. 6367
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    INDEX
    Explanations

    requirements or conditions listed in a structured format

    oai_token-act-pair · gpt-3.5-turbo

    criteria and requirements related to eligibility and submissions

    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
    NetMessage
    -0.73
    dump
    -0.69
     speculate
    -0.67
     fate
    -0.67
    roo
    -0.66
    inventoryQuantity
    -0.64
     temptation
    -0.64
    kered
    -0.63
    sers
    -0.63
    entimes
    -0.63
    POSITIVE LOGITS
     sufficiently
    1.00
     satisfactory
    0.99
     comply
    0.96
     sufficient
    0.90
    Valid
    0.89
     resided
    0.89
     consent
    0.88
     satisfies
    0.88
     complying
    0.86
     >=
    0.85
    Activations Density 0.321%

    No Known Activations