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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. 9-RES-JB
    6. 6363
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    Explanations

    statements related to disclosure or justification

    oai_token-act-pair · gpt-3.5-turbo

    discussions centered around honesty and revelation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    phalt
    -0.76
    rians
    -0.70
    atl
    -0.70
    croft
    -0.68
    agues
    -0.67
    rian
    -0.66
    erva
    -0.66
    iatrics
    -0.65
    enf
    -0.65
    onder
    -0.64
    POSITIVE LOGITS
     his
    1.07
     their
    1.03
     herself
    0.93
     her
    0.89
     owning
    0.87
     what
    0.86
     how
    0.86
    their
    0.86
     himself
    0.85
     quitting
    0.85
    Activations Density 0.401%

    No Known Activations