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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. 0-RES-JB
    11. 6399
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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 @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Romans
    -0.69
     Wester
    -0.66
     Sans
    -0.62
     movement
    -0.62
     covenant
    -0.62
     Offensive
    -0.61
     Fresh
    -0.60
     bans
    -0.59
    TC
    -0.59
     Summer
    -0.58
    POSITIVE LOGITS
     ..........
    4.69
     ........
    2.34
     ................
    2.10
     ..............
    2.06
     ......
    2.05
     ....
    1.91
    ..................
    1.54
    ........................
    1.47
    ........
    1.41
     ..
    1.36
    Activations Density 0.026%

    No Known Activations