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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. 11240
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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
    leigh
    -0.77
     Sabha
    -0.74
    cot
    -0.72
    ghazi
    -0.72
    thur
    -0.71
    gun
    -0.70
    corruption
    -0.70
    metics
    -0.70
    trop
    -0.70
    eared
    -0.70
    POSITIVE LOGITS
     collaborations
    1.02
     collaborators
    0.97
     partner
    0.92
     collaboration
    0.91
     partners
    0.90
     collabor
    0.88
     collaborating
    0.87
     collaborator
    0.87
    ivity
    0.85
     arrang
    0.85
    Activations Density 0.042%

    No Known Activations