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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. 23328
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    Explanations

    names of specific individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of prominent individuals and their associations or positions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    nel
    -0.97
    icular
    -0.86
    umbnail
    -0.83
    nels
    -0.82
    osal
    -0.82
    Downloadha
    -0.81
    umbers
    -0.80
    ient
    -0.79
    fully
    -0.78
    yss
    -0.77
    POSITIVE LOGITS
     Abe
    0.92
     Axel
    0.87
    rod
    0.82
     Engels
    0.79
     Tanz
    0.70
    endas
    0.69
     Becker
    0.68
     Friedrich
    0.68
     Ãĸ
    0.67
     Shinzo
    0.67
    Activations Density 0.015%

    No Known Activations