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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. 9-RES-JB
    11. 2435
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icular
    -0.81
    atever
    -0.80
    iless
    -0.79
    ilts
    -0.76
    lein
    -0.75
    gling
    -0.73
    vier
    -0.73
    idity
    -0.72
    adium
    -0.71
    iven
    -0.69
    POSITIVE LOGITS
     providers
    0.94
     Regulatory
    0.93
     companies
    0.90
     networks
    0.90
     giants
    0.90
     operators
    0.89
     regulator
    0.89
     infrastructure
    0.88
     sector
    0.87
    communications
    0.86
    Activations Density 0.063%

    No Known Activations