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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. 3-RES-JB
    11. 18569
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    Explanations

    proper nouns, particularly focusing on names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper names, specifically those of notable individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PsyNetMessage
    -0.99
    ounter
    -0.74
    eele
    -0.67
    oulos
    -0.67
    ORGE
    -0.66
     rall
    -0.65
    henko
    -0.64
    omaly
    -0.63
     IMAGES
    -0.63
    NetMessage
    -0.63
    POSITIVE LOGITS
     Huff
    0.96
    shire
    0.89
    hurst
    0.80
    mable
    0.79
    meyer
    0.78
    ij士
    0.77
    pole
    0.75
    puff
    0.75
    inge
    0.75
    itto
    0.72
    Activations Density 0.012%

    No Known Activations