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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. 11-RES-JB
    11. 10099
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    Explanations

    phrases related to evaluating, monitoring, and checking different aspects of a situation

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the intention or action of assessing or measuring something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    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
    eret
    -0.61
    ¬¼
    -0.59
     sued
    -0.58
    scrib
    -0.56
    Speaking
    -0.56
     Lives
    -0.55
    VOL
    -0.54
     kisses
    -0.54
     mortg
    -0.54
    rolled
    -0.54
    POSITIVE LOGITS
     determine
    1.55
     ascertain
    1.39
     see
    1.38
     gauge
    1.27
     ensure
    1.23
     verify
    1.19
     discover
    1.18
     find
    1.13
     assess
    1.12
     learn
    1.09
    Activations Density 0.137%

    No Known Activations