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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 15589
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    INDEX
    Explanations

    phrases related to cows and their products

    oai_token-act-pair · gpt-3.5-turbo

    mentions of cows and related livestock

    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
     satell
    -0.85
    mble
    -0.81
     Flavoring
    -0.74
     Extend
    -0.73
     millenn
    -0.71
    FTWARE
    -0.68
     newsp
    -0.68
    */(
    -0.68
     Spac
    -0.67
     subsequ
    -0.67
    POSITIVE LOGITS
    boys
    1.37
    riter
    1.15
    ards
    1.13
    girl
    1.06
    ritten
    1.05
    yard
    0.97
    girls
    0.96
    dh
    0.92
    poke
    0.91
     pasture
    0.90
    Activations Density 0.018%

    No Known Activations