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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. 11413
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    INDEX
    Explanations

    exclamatory phrases or instructions

    oai_token-act-pair · gpt-3.5-turbo

    exclamatory sentences or phrases indicating strong emotions or commands

    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
     confir
    -0.88
     tremend
    -0.85
    ¥ŀ
    -0.81
     carbohyd
    -0.81
     challeng
    -0.81
     eleph
    -0.80
     volunte
    -0.79
     conclud
    -0.78
     obser
    -0.78
     princ
    -0.78
    POSITIVE LOGITS
     Voters
    0.85
     Scientists
    0.82
     Researchers
    0.81
     Gleaming
    0.80
     Students
    0.79
     Customers
    0.78
     Patients
    0.76
     Prosecutors
    0.76
     Investigators
    0.75
     Abortion
    0.74
    Activations Density 0.623%

    No Known Activations