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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. 3-RES-JB
    11. 15766
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    Explanations

    phrases related to criminal justice and imprisonment

    oai_token-act-pair · gpt-3.5-turbo

    references to incarceration and prison sentences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yip
    -0.92
    ï¸ı
    -0.75
    thora
    -0.74
    lass
    -0.71
    omatic
    -0.69
    udden
    -0.67
    laus
    -0.66
    FORE
    -0.64
    rians
    -0.64
    oric
    -0.64
    POSITIVE LOGITS
     inmates
    0.93
     prisons
    0.86
    prison
    0.85
     prison
    0.83
     sentences
    0.82
     barr
    0.81
     inmate
    0.81
     prisoners
    0.80
     sentence
    0.77
     imprison
    0.77
    Activations Density 0.021%

    No Known Activations