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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. 8-RES-JB
    11. 23696
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    Explanations

    dates and times in various formats

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    akespe
    -0.78
    nesday
    -0.77
     withd
    -0.73
     neighb
    -0.71
    hetti
    -0.67
     predec
    -0.66
     undermin
    -0.66
     destro
    -0.66
    wagen
    -0.66
    ilaterally
    -0.63
    POSITIVE LOGITS
     ILCS
    0.77
    7601
    0.76
     Introduction
    0.69
     Shin
    0.68
     Expand
    0.68
     HOU
    0.68
    CHAPTER
    0.68
     RELEASE
    0.67
     ãĥ
    0.66
    ESSION
    0.64
    Activations Density 0.193%

    No Known Activations