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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. 7291
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    Explanations

    phrases related to specific names and locations

    oai_token-act-pair · gpt-3.5-turbo

    words related to physical affection or embraces

    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
    aeda
    -0.79
    anguage
    -0.77
     tamp
    -0.76
     discharge
    -0.76
    ixture
    -0.70
     transmitting
    -0.69
     mathemat
    -0.69
     chloride
    -0.68
     oun
    -0.67
    orescent
    -0.67
    POSITIVE LOGITS
    glers
    1.20
    gers
    0.94
    ging
    0.92
    ger
    0.88
    gest
    0.86
    asus
    0.84
    gey
    0.83
    Hug
    0.80
    erd
    0.79
    aneers
    0.77
    Activations Density 0.011%

    No Known Activations