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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. 16259
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    Explanations

    words related to understanding, decoding, and comprehending text

    oai_token-act-pair · gpt-3.5-turbo

    terms related to understanding and comprehension processes

    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
     hire
    -0.70
    wife
    -0.65
    gged
    -0.65
    rera
    -0.64
    IDS
    -0.62
    INST
    -0.62
    idity
    -0.61
     shoot
    -0.60
    FORE
    -0.60
    onies
    -0.60
    POSITIVE LOGITS
     comprehension
    1.16
    ibility
    0.97
    IBLE
    0.97
    ible
    0.92
     Puzz
    0.86
    ibles
    0.86
    ĨĴ
    0.80
    blance
    0.80
     decipher
    0.79
    ĵĺ
    0.79
    Activations Density 0.025%

    No Known Activations