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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 19608
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    Explanations

    words indicating an error or mistake

    oai_token-act-pair · gpt-3.5-turbo

    words related to wrongful actions or misidentifications

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

    No Comments

    Negative Logits
    iments
    -0.81
    ĸļ
    -0.78
    iment
    -0.77
    ista
    -0.72
    istas
    -0.69
     Plan
    -0.69
     Prospect
    -0.68
    orem
    -0.66
    iens
    -0.65
     Hands
    -0.65
    POSITIVE LOGITS
     mistaken
    0.95
     inaccurate
    0.89
     repro
    0.84
     falsely
    0.83
     wrongly
    0.83
     accuse
    0.82
     guiActiveUn
    0.81
    otom
    0.81
     inflated
    0.80
     tarn
    0.79
    Activations Density 0.021%

    No Known Activations