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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. 1-RES-JB
    11. 22462
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    Explanations

    references to grants

    oai_token-act-pair · gpt-3.5-turbo

    references to grants and funding

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Atmosp
    -0.75
    Clean
    -0.73
    stals
    -0.72
    cal
    -0.69
    chrom
    -0.68
    Temperature
    -0.67
     Sins
    -0.66
     Plain
    -0.65
     Steps
    -0.65
    volt
    -0.64
    POSITIVE LOGITS
     grant
    1.29
     grants
    1.00
     granted
    0.96
    Grant
    0.87
     granting
    0.87
    ees
    0.86
     Grant
    0.80
     funding
    0.79
     laure
    0.79
     amnesty
    0.79
    Activations Density 0.010%

    No Known Activations