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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. 7-RES-JB
    11. 14177
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    INDEX
    Explanations

    phrases related to requirements or conditions that need to be fulfilled

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "be" in various grammatical forms

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    terday
    -0.72
    might
    -0.67
    oneliness
    -0.65
    odd
    -0.64
    iesta
    -0.64
     Dragonbound
    -0.63
     Rab
    -0.61
     Archdemon
    -0.60
     TED
    -0.60
     Crimson
    -0.59
    POSITIVE LOGITS
     subjected
    1.15
     able
    1.15
     treated
    1.14
     considered
    1.13
     judged
    1.11
     evaluated
    1.11
     regarded
    1.11
     viewed
    1.09
     assessed
    1.09
     discharged
    1.04
    Activations Density 0.257%

    No Known Activations