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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. 1-RES-JB
    11. 8033
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    Explanations

    references to physical injuries and medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to injuries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    chie
    -0.69
    zee
    -0.66
    tre
    -0.65
    esters
    -0.64
    itudinal
    -0.63
    toggle
    -0.63
    zees
    -0.62
    estine
    -0.61
    hist
    -0.60
    avanaugh
    -0.60
    POSITIVE LOGITS
     injuries
    1.10
     inflicted
    1.08
     incurred
    0.98
    Downloadha
    0.88
    juries
    0.88
     experien
    0.87
     injury
    0.87
     redes
    0.83
     injure
    0.82
     inflic
    0.79
    Activations Density 0.010%

    No Known Activations