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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. 6-RES-JB
    11. 13538
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    Explanations

    references to robots

    oai_token-act-pair · gpt-3.5-turbo

    references to robots and their characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WAYS
    -0.77
    clair
    -0.75
    dn
    -0.75
    emi
    -0.72
     whence
    -0.69
    uity
    -0.68
    UGE
    -0.67
    retion
    -0.67
    ippi
    -0.66
    creen
    -0.66
    POSITIVE LOGITS
    ically
    0.86
     robot
    0.84
     bots
    0.84
     robots
    0.79
     Robots
    0.74
    anical
    0.73
     swarm
    0.73
    bots
    0.72
     mascot
    0.71
    animate
    0.71
    Activations Density 0.031%

    No Known Activations