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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. 15856
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    INDEX
    Explanations

    mentions of values and principles

    oai_token-act-pair · gpt-3.5-turbo

    arguments related to morality and ethical considerations in societal frameworks

    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
    lbs
    -0.72
    heast
    -0.65
     Pwr
    -0.65
    NES
    -0.63
    UFC
    -0.61
     Sprint
    -0.60
    tips
    -0.59
     VIP
    -0.59
    laun
    -0.59
     Emergency
    -0.59
    POSITIVE LOGITS
     epist
    1.15
     philosophers
    0.97
     presupp
    0.96
     insofar
    0.95
     empirical
    0.92
     normative
    0.91
     implicitly
    0.89
     subjective
    0.86
     intrinsically
    0.86
     empir
    0.86
    Activations Density 2.124%

    No Known Activations