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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. 8-RES-JB
    11. 14460
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    INDEX
    Explanations

    numerical information related to people, events, or locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of people and incidents involving injuries or deaths

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rette
    -0.64
    yrights
    -0.63
    cia
    -0.63
    Truth
    -0.62
    uably
    -0.58
    âĦ¢
    -0.58
    edu
    -0.57
    Directory
    -0.57
    ãģ®æ
    -0.57
    TPP
    -0.57
    POSITIVE LOGITS
    ogether
    0.78
     this
    0.76
     occupants
    0.74
     these
    0.74
     arrivals
    0.72
     each
    0.71
     passengers
    0.71
     makeshift
    0.70
     disturbance
    0.68
     the
    0.68
    Activations Density 0.765%

    No Known Activations