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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. 14038
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    oai_token-act-pair · gpt-3.5-turbo

    words related to censorship

    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
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    Negative Logits
    ilater
    -0.76
    docker
    -0.73
    swick
    -0.73
    amac
    -0.72
    verty
    -0.70
     Mead
    -0.70
    mort
    -0.65
    ndra
    -0.65
     Dew
    -0.64
    ocamp
    -0.64
    POSITIVE LOGITS
     censor
    0.84
     censorship
    0.84
     cens
    0.83
    zers
    0.79
    orious
    0.77
     suppressing
    0.75
     censored
    0.74
     inhib
    0.71
     suppression
    0.68
     levied
    0.68
    Activations Density 0.069%

    No Known Activations