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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. 3-RES-JB
    11. 5649
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    Explanations

    mentions of dough and related activities involving dough

    oai_token-act-pair · gpt-3.5-turbo

    references to dough and pastry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nesota
    -0.82
    76561
    -0.77
     Roof
    -0.70
    eve
    -0.69
     Rousse
    -0.65
    士
    -0.64
     Panther
    -0.64
    audi
    -0.63
     Episcopal
    -0.62
     Gat
    -0.62
    POSITIVE LOGITS
    nut
    1.67
    nuts
    1.60
    boys
    1.15
     dough
    1.05
     Dough
    1.01
    wallet
    0.97
    awan
    0.95
    boy
    0.92
    worms
    0.89
    riter
    0.89
    Activations Density 0.004%

    No Known Activations