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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. 11354
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    Explanations

    proper names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names 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
    Ħ¢
    -0.78
    cffff
    -0.73
    direction
    -0.66
     alike
    -0.61
     encomp
    -0.60
    SPONSORED
    -0.59
     respectively
    -0.58
    worldly
    -0.58
     independents
    -0.58
     fame
    -0.58
    POSITIVE LOGITS
     Roh
    0.83
    ilyn
    0.82
     Gregory
    0.82
     Reed
    0.82
     Yong
    0.82
     McInt
    0.81
     Nicol
    0.81
     Farrell
    0.79
     Williamson
    0.79
     Becker
    0.79
    Activations Density 0.284%

    No Known Activations