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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. 7-RES-JB
    11. 20745
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Balt
    -0.63
     retali
    -0.62
     freeze
    -0.61
     restrained
    -0.60
    ARY
    -0.59
     trapped
    -0.59
     progress
    -0.59
     Kubrick
    -0.58
     saline
    -0.58
    ĺħ
    -0.57
    POSITIVE LOGITS
    fortable
    1.10
    pleted
    1.04
    pletion
    1.02
    puters
    1.01
    pleting
    0.94
    psons
    0.90
    puting
    0.90
    posure
    0.89
    ptroller
    0.88
    lishes
    0.87
    Activations Density 0.031%

    No Known Activations