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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. 21220
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    Explanations

    references to corn-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to corn and its uses

    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
     Lumpur
    -0.82
    */(
    -0.77
     reperto
    -0.74
    deen
    -0.73
    irlf
    -0.67
    llers
    -0.66
    EStream
    -0.65
    thodox
    -0.65
     newsp
    -0.65
     Exile
    -0.63
    POSITIVE LOGITS
    meal
    1.00
    grain
    0.99
     corn
    0.98
     starch
    0.98
    seed
    0.92
     ethanol
    0.91
    flake
    0.91
    bread
    0.91
    oxin
    0.91
    corn
    0.90
    Activations Density 0.007%

    No Known Activations