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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
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    Explanations

    references to various types of pasta dishes

    oai_token-act-pair · gpt-3.5-turbo

    references to pasta dishes and related food items

    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
    worm
    -0.82
    sten
    -0.78
    wer
    -0.76
    tarians
    -0.76
    izont
    -0.75
    pes
    -0.74
    izons
    -0.74
    kat
    -0.73
    pher
    -0.72
    worms
    -0.70
    POSITIVE LOGITS
    olini
    0.72
    enegger
    0.71
    pmwiki
    0.71
     buckle
    0.69
    oulos
    0.67
    hedral
    0.67
     Holo
    0.67
    odied
    0.65
    esan
    0.64
     Shinra
    0.64
    Activations Density 0.084%

    No Known Activations