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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. 6-RES-JB
    11. 7645
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    Explanations

    words related to different concepts and ideas, such as education, politics, expertise, and alcohol consumption

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to communication and understanding societal issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ur
    -0.70
    ãĥīãĥ©
    -0.68
    çīĪ
    -0.66
    Iraq
    -0.66
     Nicarag
    -0.66
     Highland
    -0.61
    VIS
    -0.61
    Offic
    -0.61
    SPONSORED
    -0.60
     Urug
    -0.60
    POSITIVE LOGITS
     inherently
    0.96
    ateur
    0.95
     nowadays
    0.91
    ometimes
    0.80
    itect
    0.76
     typically
    0.75
     usually
    0.75
    ynthesis
    0.75
     ALWAYS
    0.74
    ĨĴ
    0.74
    Activations Density 1.294%

    No Known Activations