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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. 1345
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    Explanations

    phrases related to privilege or private matters

    oai_token-act-pair · gpt-3.5-turbo

    terms related to privacy and privileged information

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ORN
    -0.82
    WAYS
    -0.81
    calling
    -0.76
    IELD
    -0.73
     Shake
    -0.72
    BOX
    -0.70
    rers
    -0.70
    dry
    -0.67
    grass
    -0.67
     Ducks
    -0.67
    POSITIVE LOGITS
    ileged
    1.44
    ilege
    1.36
    acies
    1.32
    ately
    1.16
    urrent
    1.09
    atism
    1.04
    iless
    1.04
    acy
    0.99
    ession
    0.96
    aband
    0.93
    Activations Density 0.012%

    No Known Activations