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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. 492
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    Explanations

    instances where individuals are vocalizing opinions or criticisms

    oai_token-act-pair · gpt-3.5-turbo

    instances of speaking out or expressing opinions against various 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
    Not in Any Lists

    No Comments

    Negative Logits
     rede
    -0.64
    vous
    -0.60
     Gadget
    -0.60
    liction
    -0.59
     rolls
    -0.59
    ahon
    -0.58
     turnover
    -0.58
     Lann
    -0.58
     oxidation
    -0.57
    oreal
    -0.57
    POSITIVE LOGITS
    stretched
    0.99
     loud
    0.94
     louder
    0.82
     loudly
    0.81
    mbuds
    0.78
    lier
    0.78
    eka
    0.76
    rage
    0.76
    olate
    0.75
    burst
    0.72
    Activations Density 0.029%

    No Known Activations