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    1. Home
    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. 22853
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    Explanations

    phrases related to detailed processes or tasks

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to processes and the effort required to execute tasks

    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
    olitics
    -0.82
    cit
    -0.80
    ults
    -0.76
    ledged
    -0.69
    Sport
    -0.68
    ippy
    -0.68
    sided
    -0.67
    endo
    -0.67
    nil
    -0.66
    ynes
    -0.66
    POSITIVE LOGITS
     determining
    1.83
     figuring
    1.76
     obtaining
    1.70
     selecting
    1.69
     constructing
    1.68
     identifying
    1.67
     designing
    1.64
     verifying
    1.64
     locating
    1.63
     preparing
    1.61
    Activations Density 0.392%

    No Known Activations