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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. 12-RES-JB
    11. 2998
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    INDEX
    Explanations

    phrases describing technological advancements and product capabilities

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    emotional expressions and subjective assessments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ®
    -0.72
    ĸļ
    -0.71
    =-=-
    -0.69
    kat
    -0.68
     accuses
    -0.67
    obbies
    -0.67
    æĪ¦
    -0.66
    uyomi
    -0.64
    äºĶ
    -0.64
    aline
    -0.64
    POSITIVE LOGITS
     scalable
    1.30
     achievable
    1.29
     feasible
    1.25
     transformative
    1.17
     exciting
    1.07
     revolutionary
    1.05
     accelerating
    1.04
     viable
    1.01
     exponential
    0.99
     cheaper
    0.98
    Activations Density 0.362%

    No Known Activations