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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. 9-RES-JB
    11. 17584
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    Explanations

    personal pronouns 'We' or 'You/You're' signaling an inclusive language or call to action for a specific audience to take action

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "we"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     srfAttach
    -0.64
     quo
    -0.63
     manifests
    -0.63
     bloc
    -0.62
     totality
    -0.60
     citation
    -0.59
     fluids
    -0.58
     resting
    -0.58
     vig
    -0.58
     gratification
    -0.57
    POSITIVE LOGITS
    akening
    1.34
    ird
    1.28
    eks
    1.27
    ldon
    1.25
    bsite
    1.25
    alth
    1.24
    instein
    1.18
    athered
    1.17
    ighed
    1.16
    asel
    1.14
    Activations Density 0.147%

    No Known Activations