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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. 2-RES-JB
    11. 12118
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    Explanations

    descriptions or mentions of meat dishes, particularly steak

    oai_token-act-pair · gpt-3.5-turbo

    references to steak dishes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    agnetic
    -0.71
    phal
    -0.69
    pmwiki
    -0.65
    ellar
    -0.65
    pher
    -0.64
     Citizens
    -0.64
    onnaissance
    -0.63
     CNS
    -0.62
     Hail
    -0.62
     Camden
    -0.62
    POSITIVE LOGITS
     steak
    1.20
     dinner
    0.86
     dinners
    0.85
     knives
    0.84
    becue
    0.82
     chef
    0.82
    erie
    0.81
    bowl
    0.79
    worms
    0.78
     tacos
    0.78
    Activations Density 0.010%

    No Known Activations