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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
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    Explanations

    mentions of imprisonment

    oai_token-act-pair · gpt-3.5-turbo

    references to imprisonment and incarceration

    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
    soDeliveryDate
    -0.96
    thodox
    -0.69
    ergy
    -0.68
    ichita
    -0.67
    enhagen
    -0.66
    isy
    -0.65
    ebus
    -0.65
    afety
    -0.65
    Diff
    -0.62
    iverse
    -0.62
    POSITIVE LOGITS
     imprisonment
    1.03
     incarcer
    0.97
     incarceration
    0.92
     detain
    0.90
     imprison
    0.88
    arcer
    0.82
    ante
    0.79
     confinement
    0.78
    rained
    0.78
    ously
    0.76
    Activations Density 0.006%

    No Known Activations