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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. 3438
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    Explanations

    numbers representing specific values or records

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the establishment of standards or limits

    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
    itte
    -0.58
    oubt
    -0.57
     inver
    -0.55
    fuck
    -0.55
    pan
    -0.55
     MOV
    -0.55
     ZIP
    -0.55
    ilater
    -0.53
    razil
    -0.52
     Divinity
    -0.51
    POSITIVE LOGITS
     by
    1.13
     jointly
    0.93
     BY
    0.83
     during
    0.82
    pez
    0.80
     earlier
    0.80
     previously
    0.75
    ³
    0.73
     pursuant
    0.71
    during
    0.71
    Activations Density 0.224%

    No Known Activations