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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. 8510
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    Explanations

    phrases related to death

    oai_token-act-pair · gpt-3.5-turbo

    references to death and dying

    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
    orney
    -0.79
    rupulous
    -0.76
    iola
    -0.72
    Allen
    -0.71
    OPER
    -0.71
    Union
    -0.69
    MN
    -0.69
    Grab
    -0.67
    oyal
    -0.66
    arov
    -0.65
    POSITIVE LOGITS
     horribly
    1.03
     toll
    0.86
     tragically
    0.84
     intest
    0.83
    ffen
    0.82
     peacefully
    0.80
     miser
    0.80
    getic
    0.76
     dying
    0.74
     reckoning
    0.73
    Activations Density 0.036%

    No Known Activations