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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. 21097
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    Explanations

    terms related to incorrect beliefs or understanding

    oai_token-act-pair · gpt-3.5-turbo

    terms related to misconceptions and misinformation

    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
    igree
    -0.74
    atom
    -0.72
    negie
    -0.71
    ramid
    -0.69
    edom
    -0.67
    imen
    -0.66
    itar
    -0.66
    incinn
    -0.66
    ropri
    -0.65
    gans
    -0.65
    POSITIVE LOGITS
     misunderstanding
    1.01
     misconceptions
    1.00
     misconception
    0.94
     misunderstand
    0.87
     inaccur
    0.85
     misinformation
    0.84
     misinterpret
    0.84
     incorrectly
    0.81
     misunderstood
    0.77
     inaccurate
    0.76
    Activations Density 0.044%

    No Known Activations