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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. 7-RES-JB
    11. 18011
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    Explanations

    words related to negative actions or consequences

    oai_token-act-pair · gpt-3.5-turbo

    instances or warnings related to negative consequences or harm

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mathemat
    -0.79
     Windsor
    -0.71
     Gaul
    -0.70
     Bermuda
    -0.66
     RAF
    -0.65
     QC
    -0.65
     GW
    -0.64
     lawy
    -0.62
     fortun
    -0.62
     RAID
    -0.61
    POSITIVE LOGITS
    ï¸ı
    1.09
    egal
    0.84
    own
    0.84
    ateral
    0.77
    tracks
    0.76
    river
    0.74
    audi
    0.73
    reed
    0.73
    DEN
    0.73
    lished
    0.73
    Activations Density 0.284%

    No Known Activations