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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. 21981
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    Explanations

    phrases related to prisons

    oai_token-act-pair · gpt-3.5-turbo

    references to prisons and incarceration

    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
    lass
    -0.81
    ï¸ı
    -0.76
    yip
    -0.75
    omatic
    -0.69
    thora
    -0.65
    witz
    -0.64
    ignty
    -0.64
     Remastered
    -0.63
    soDeliveryDate
    -0.63
    afety
    -0.63
    POSITIVE LOGITS
     inmates
    0.95
     inmate
    0.85
     prisons
    0.81
     sentences
    0.80
    prison
    0.80
    house
    0.79
     prisoners
    0.78
     barr
    0.78
     camps
    0.76
     confinement
    0.76
    Activations Density 0.030%

    No Known Activations