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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. 13248
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    INDEX
    Explanations

    verbs expressing prohibition or warning

    oai_token-act-pair · gpt-3.5-turbo

    negative outcomes or risks associated with actions or behaviors

    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
     Medals
    -0.80
    Apps
    -0.79
    llan
    -0.77
     Peb
    -0.75
     Canter
    -0.74
     iPod
    -0.72
     530
    -0.71
     Peer
    -0.71
     Plymouth
    -0.69
    prints
    -0.68
    POSITIVE LOGITS
     curse
    0.96
     atroc
    0.95
     blight
    0.94
     disturbance
    0.93
    hazard
    0.93
     menace
    0.93
     sickness
    0.93
     dise
    0.90
     hazard
    0.89
     instability
    0.89
    Activations Density 0.757%

    No Known Activations