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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. 1-RES-JB
    11. 7171
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    Explanations

    phrases related to specific names or terms related to technology, possibly related to software development or online platforms

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and places

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    interstitial
    -0.73
     prescription
    -0.67
     idol
    -0.64
    vati
    -0.64
     captcha
    -0.63
     sliced
    -0.63
     prophetic
    -0.62
    pants
    -0.61
     ILCS
    -0.61
     fare
    -0.61
    POSITIVE LOGITS
    isen
    1.02
    forge
    0.93
    Forge
    0.89
    arten
    0.88
    onne
    0.85
    mberg
    0.83
    schild
    0.82
    aila
    0.81
    za
    0.80
    atur
    0.79
    Activations Density 0.023%

    No Known Activations