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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. 7-RES-JB
    11. 7992
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    Explanations

    words related to suggesting, advising, or recommending actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to suggestions and recommendations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    Cre
    -0.67
    Gene
    -0.60
    Tonight
    -0.56
    Copyright
    -0.55
     |
    -0.54
    click
    -0.54
    sis
    -0.54
    Bound
    -0.53
    cre
    -0.52
    cl
    -0.52
    POSITIVE LOGITS
    interstitial
    0.63
    cellaneous
    0.60
    ":""},{"
    0.60
    soDeliveryDate
    0.59
     Treasurer
    0.59
    wcs
    0.55
     MFT
    0.55
    è¦ļéĨĴ
    0.55
     other
    0.55
    ãĥį
    0.53
    Activations Density 1.520%

    No Known Activations