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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. 2064
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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
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    No Comments

    Negative Logits
    agers
    -0.69
     loyal
    -0.65
     emot
    -0.64
    iosity
    -0.63
    ibur
    -0.63
     aven
    -0.63
    cible
    -0.63
     agon
    -0.63
     bonded
    -0.63
    anian
    -0.63
    POSITIVE LOGITS
     Firstly
    1.26
     Hopefully
    1.22
     Specifically
    1.18
     Below
    1.16
     Whilst
    1.09
     Essentially
    1.07
     Obviously
    1.06
     Each
    1.05
     Additionally
    1.05
     Assuming
    1.04
    Activations Density 0.214%

    No Known Activations