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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. 4470
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    INDEX
    Explanations

    instances of death or fatal outcomes

    oai_token-act-pair · gpt-3.5-turbo

    contexts involving death or fatal incidents

    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
    oyer
    -1.00
    soType
    -0.95
    ellar
    -0.93
    eele
    -0.88
    soDeliveryDate
    -0.85
    eller
    -0.81
    chio
    -0.80
    wcsstore
    -0.74
    ALT
    -0.74
    angular
    -0.74
    POSITIVE LOGITS
     Cambodia
    0.79
     Khe
    0.75
     gunshot
    0.75
     suicides
    0.73
     bomber
    0.72
     Bolshe
    0.71
     bombing
    0.71
     Haku
    0.71
     drowning
    0.70
     suicide
    0.70
    Activations Density 0.786%

    No Known Activations