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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. 8-RES-JB
    11. 12512
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    Explanations

    phrases related to criticism or opposition

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to threats or concerns involving human rights issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Í
    -0.68
    à¼
    -0.67
     fulfillment
    -0.63
     occasionally
    -0.63
    ashtra
    -0.63
    enment
    -0.62
    heastern
    -0.62
    amental
    -0.61
     rather
    -0.61
     unforeseen
    -0.59
    POSITIVE LOGITS
     Lavrov
    0.73
     Sessions
    0.72
     Alv
    0.69
     Ms
    0.66
     Horton
    0.62
     Wool
    0.61
     Scal
    0.61
     Lars
    0.61
     Mr
    0.61
    indal
    0.60
    Activations Density 0.421%

    No Known Activations