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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. 6-RES-JB
    11. 1453
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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 @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    VERTISEMENT
    -0.79
    lasses
    -0.76
    nat
    -0.71
    phal
    -0.70
    urst
    -0.68
    olson
    -0.67
    Sax
    -0.66
     Rollins
    -0.65
     Barkley
    -0.65
    icals
    -0.65
    POSITIVE LOGITS
     permission
    1.17
     requests
    1.02
     forgiveness
    0.90
     pardon
    0.87
    Animation
    0.86
     requested
    0.85
     permissions
    0.83
     request
    0.83
     warrants
    0.79
     requ
    0.78
    Activations Density 0.033%

    No Known Activations