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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. 23258
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    Explanations

    pronouns followed by verbs related to actions done for someone else

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals and their needs or situations

    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
    UFF
    -0.63
     havoc
    -0.63
    uncture
    -0.63
     recess
    -0.60
     prevalence
    -0.55
     consensus
    -0.55
     Canary
    -0.52
    âĨij
    -0.51
     Onion
    -0.51
     moratorium
    -0.51
    POSITIVE LOGITS
     personally
    1.15
    selves
    1.15
    self
    1.14
    atically
    1.03
    andering
    0.97
    atic
    0.95
     selves
    0.87
    entric
    0.85
     emotionally
    0.81
     orally
    0.80
    Activations Density 0.155%

    No Known Activations