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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 11464
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    INDEX
    Explanations

    occurrences of the word "we" with a high level of activation

    oai_token-act-pair · gpt-3.5-turbo

    instances of the pronoun "we."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     gratification
    -0.80
     quo
    -0.71
     anonymity
    -0.68
     citation
    -0.67
     pedoph
    -0.65
     citations
    -0.64
     contradictions
    -0.63
     LSD
    -0.63
     conflicts
    -0.61
     sucker
    -0.61
    POSITIVE LOGITS
    bsite
    1.49
    eping
    1.18
    aving
    1.17
    ldon
    1.16
    lder
    1.14
    igh
    1.13
    akening
    1.11
    aning
    1.10
    eks
    1.06
    ighed
    1.05
    Activations Density 0.098%

    No Known Activations