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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. 18644
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    Explanations

    proper names or unique identifiers

    oai_token-act-pair · gpt-3.5-turbo

    names or identifiers of individuals

    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
    Not in Any Lists

    No Comments

    Negative Logits
    dayName
    -0.76
    Accessory
    -0.73
    direction
    -0.73
    Interstitial
    -0.72
     predec
    -0.71
     indo
    -0.70
     uter
    -0.70
    illance
    -0.69
    elvet
    -0.67
    AppData
    -0.66
    POSITIVE LOGITS
     Robinson
    1.16
     McKay
    1.16
     Peters
    1.12
     Robertson
    1.09
     Farrell
    1.09
     Reed
    1.08
     Larson
    1.07
     Hoffman
    1.07
     McC
    1.07
     McH
    1.06
    Activations Density 0.221%

    No Known Activations