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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. 5-RES-JB
    6. 3262
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    INDEX
    Explanations

    phrases related to spatial orientation and directions

    oai_token-act-pair · gpt-3.5-turbo

    specific measurements or conditions related to performance and metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rig
    -0.55
    cel
    -0.55
    Bernie
    -0.53
    mosp
    -0.53
    founded
    -0.51
     Emmy
    -0.51
    jen
    -0.51
    onom
    -0.50
    CNN
    -0.50
    jug
    -0.48
    POSITIVE LOGITS
     cous
    0.65
     respectively
    0.62
     shenan
    0.60
     interchangeable
    0.59
     assum
    0.59
    yip
    0.58
     alternating
    0.58
     increments
    0.57
     indu
    0.56
     thereby
    0.55
    Activations Density 1.340%

    No Known Activations