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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. 11-RES-JB
    11. 1056
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    INDEX
    Explanations

    steps or instructions for performing a task

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to cooking and food preparation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    senal
    -0.96
    HR
    -0.79
    MQ
    -0.73
    atre
    -0.71
    Roy
    -0.69
    Weather
    -0.68
     Controlled
    -0.67
    borgh
    -0.66
     Earthquake
    -0.65
     Vide
    -0.65
    POSITIVE LOGITS
     bits
    1.41
     strands
    1.32
     residue
    1.31
     pores
    1.28
     wrinkles
    1.27
     chunks
    1.26
     fibers
    1.25
     remnants
    1.25
     scraps
    1.21
     moisture
    1.21
    Activations Density 0.285%

    No Known Activations