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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. 17469
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    Explanations

    pronouns 'we' or 'I'

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases emphasizing the collective aspects and importance 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 @ 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
    lights
    -0.63
    ¿½
    -0.61
     Levine
    -0.58
    REDACTED
    -0.56
     Reasons
    -0.55
     Sutherland
    -0.54
    heres
    -0.53
    Cra
    -0.52
     Wick
    -0.52
     Flavoring
    -0.52
    POSITIVE LOGITS
    're
    1.43
    athered
    1.13
    asel
    1.09
     ourselves
    1.06
    aning
    1.06
    've
    1.01
    eding
    0.96
    arers
    0.96
    aned
    0.94
    akening
    0.92
    Activations Density 0.182%

    No Known Activations