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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. 0-RES-JB
    11. 2396
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    Explanations

    phrases related to extensive coverage or presence across different locations or situations

    oai_token-act-pair · gpt-3.5-turbo

    the prevalence of the word "everywhere"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orio
    -0.70
    credit
    -0.63
    Side
    -0.61
     Adjust
    -0.59
    Quest
    -0.57
    osen
    -0.57
    arr
    -0.56
    æĪ¦
    -0.55
    fe
    -0.55
    Bank
    -0.54
    POSITIVE LOGITS
     everywhere
    3.83
     Everywhere
    2.43
     wherever
    1.98
     nowhere
    1.49
     anywhere
    1.43
     abound
    1.38
     alike
    1.37
     EVERY
    1.33
     elsewhere
    1.30
     abroad
    1.16
    Activations Density 0.017%

    No Known Activations