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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. 20473
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    INDEX
    Explanations

    phrases related to central or fundamental aspects

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "core" in various contexts

    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
    ufact
    -0.85
    TN
    -0.72
    chedel
    -0.71
    ija
    -0.69
    oping
    -0.66
    _-
    -0.66
    OTO
    -0.64
    hops
    -0.63
     Dragonbound
    -0.63
    ã
    -0.61
    POSITIVE LOGITS
     core
    0.99
    core
    0.94
    stone
    0.85
     essence
    0.84
    opsis
    0.83
    utils
    0.80
    xit
    0.80
    stones
    0.79
    hole
    0.79
     pillars
    0.77
    Activations Density 0.016%

    No Known Activations