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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 18011
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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 @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sidel
    -0.67
     tremend
    -0.67
     antit
    -0.66
     denying
    -0.65
     neigh
    -0.64
     sporadic
    -0.63
     phenomen
    -0.63
     docking
    -0.62
    uced
    -0.61
     fluid
    -0.61
    POSITIVE LOGITS
     Hopefully
    1.28
     Firstly
    1.28
     Feel
    1.26
     Enjoy
    1.23
     Please
    1.21
     Below
    1.20
     Note
    1.19
     Included
    1.18
     Each
    1.17
     Specifically
    1.17
    Activations Density 0.225%

    No Known Activations