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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. 9-RES-JB
    11. 13888
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    Explanations

    words related to robotics and robots

    oai_token-act-pair · gpt-3.5-turbo

    instances or mentions of robots

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WAYS
    -0.72
     Beg
    -0.70
    emi
    -0.69
    clair
    -0.67
    retion
    -0.66
    lv
    -0.66
    creen
    -0.64
    ouse
    -0.63
    dn
    -0.63
     whence
    -0.63
    POSITIVE LOGITS
    ically
    0.89
    anical
    0.87
    ica
    0.75
    ocalypse
    0.75
     arm
    0.75
     bots
    0.73
     crawling
    0.73
    onomous
    0.72
    omach
    0.72
    Deploy
    0.72
    Activations Density 0.051%

    No Known Activations