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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. 10087
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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
     dracon
    -0.69
     mirac
    -0.68
    miah
    -0.67
     buried
    -0.67
     catapult
    -0.66
    lined
    -0.66
    itage
    -0.65
     estab
    -0.65
     crunch
    -0.64
     acute
    -0.64
    POSITIVE LOGITS
     Please
    1.61
     Therefore
    1.41
     PLEASE
    1.36
     Feel
    1.28
     Any
    1.28
     Unless
    1.25
     However
    1.24
     Occasionally
    1.24
     Regardless
    1.23
     Accordingly
    1.22
    Activations Density 0.311%

    No Known Activations