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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 5990
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    Explanations

    references to fear of arrest or restraint

    oai_token-act-pair · gpt-3.5-turbo

    concerns related to fear and legal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 5 - fear

    No Comments

    Negative Logits
     Originally
    -0.50
     nutshell
    -0.49
     âĢº
    -0.49
    pires
    -0.48
     refers
    -0.45
    inar
    -0.43
    xtap
    -0.43
    onnaissance
    -0.43
     ·
    -0.42
     Deadline
    -0.42
    POSITIVE LOGITS
    '."
    0.93
    )).
    0.92
    ]."
    0.87
    .'"
    0.85
    .).
    0.83
    )."
    0.80
    '.
    0.80
    !".
    0.77
    %.
    0.77
    ".
    0.77
    Activations Density 3.911%

    No Known Activations