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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. 4-RES-JB
    11. 2731
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    Explanations

    easy procedures or tasks

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of simplicity and ease of use

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    geist
    -0.82
    arians
    -0.71
     Rebell
    -0.68
     chromosomes
    -0.67
    xual
    -0.67
    pard
    -0.66
    reon
    -0.66
    ldom
    -0.66
    eters
    -0.65
    ajor
    -0.64
    POSITIVE LOGITS
    wallet
    0.85
     easy
    0.84
     customizable
    0.81
     interchangeable
    0.80
    izable
    0.80
     workflow
    0.76
     scalable
    0.75
     readable
    0.75
     usability
    0.75
    isable
    0.74
    Activations Density 0.106%

    No Known Activations