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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. 23824
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    Explanations

    mentions of fatal incidents

    oai_token-act-pair · gpt-3.5-turbo

    mentions of fatal incidents or occurrences

    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
    here
    -0.83
    unda
    -0.75
    annis
    -0.75
    arte
    -0.73
    orthy
    -0.73
    ourced
    -0.72
    ledge
    -0.72
    ourcing
    -0.71
     Remastered
    -0.71
    hovah
    -0.70
    POSITIVE LOGITS
     overdose
    0.98
    istically
    0.94
     fatal
    0.92
     flaw
    0.92
    ities
    0.91
    istic
    0.90
     overdoses
    0.89
     gunshot
    0.88
    ized
    0.87
     shootings
    0.85
    Activations Density 0.035%

    No Known Activations