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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. 157
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    Explanations

    phrases related to advanced equipment or technology in a professional context

    oai_token-act-pair · gpt-3.5-turbo

    references to various states of being or conditions

    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
     Zup
    -0.87
    isson
    -0.83
    IPS
    -0.76
    RESULTS
    -0.74
    owicz
    -0.71
    idious
    -0.68
    ï¸
    -0.66
    soDeliveryDate
    -0.66
    BIL
    -0.64
     Cosponsors
    -0.63
    POSITIVE LOGITS
     art
    1.25
    art
    0.95
     nation
    0.88
     affairs
    0.86
     Union
    0.86
     union
    0.84
     matter
    0.79
     arts
    0.79
     country
    0.76
     flux
    0.74
    Activations Density 0.026%

    No Known Activations