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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. 3-RES-JB
    11. 5498
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    Explanations

    references to Amazon Web Services (AWS)

    oai_token-act-pair · gpt-3.5-turbo

    references to AWS (Amazon Web Services)

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ogue
    -0.88
    ning
    -0.69
    othy
    -0.67
    cision
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    hood
    -0.66
    berman
    -0.66
    estyle
    -0.66
     Cheong
    -0.64
    riot
    -0.64
    geries
    -0.63
    POSITIVE LOGITS
    DAQ
    0.88
    IGHTS
    0.85
    OME
    0.85
    ENCY
    0.76
     IoT
    0.75
     AWS
    0.74
    ESSION
    0.73
    DOM
    0.73
     compute
    0.72
    ERY
    0.72
    Activations Density 0.007%

    No Known Activations