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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. 6-RES-JB
    11. 11594
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    oai_token-act-pair · gpt-3.5-turbo

    plural nouns and their variations

    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
    ãĥª
    -0.74
    é¾į
    -0.71
    ãĤ¦ãĤ¹
    -0.69
    shapeshifter
    -0.65
    èª
    -0.64
    Bey
    -0.64
    î
    -0.62
    ¾
    -0.60
    è»
    -0.60
    duc
    -0.60
    POSITIVE LOGITS
    wana
    0.99
    ource
    0.98
    afety
    0.97
    cript
    0.96
    hip
    0.95
    hift
    0.95
    hips
    0.94
    kaya
    0.92
    ilver
    0.89
    lash
    0.87
    Activations Density 0.178%

    No Known Activations