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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. 8-RES-JB
    11. 11115
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    Explanations

    references to docks

    oai_token-act-pair · gpt-3.5-turbo

    references to docks in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soType
    -0.76
    inventoryQuantity
    -0.76
     Asylum
    -0.70
    sburg
    -0.68
    sburgh
    -0.66
     Reincarn
    -0.65
    pa
    -0.65
    ricting
    -0.65
    heat
    -0.63
     Accountability
    -0.61
    POSITIVE LOGITS
    sonian
    0.89
    ysis
    0.85
    workers
    0.84
     Mub
    0.82
    yard
    0.78
    worker
    0.75
    abbling
    0.74
    tie
    0.72
    washer
    0.72
    hiba
    0.72
    Activations Density 0.089%

    No Known Activations