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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. 9-RES-JB
    11. 22967
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    Explanations

    words related to achievements or significant events

    oai_token-act-pair · gpt-3.5-turbo

    terms that denote the highest degree or significance, particularly related to challenges, strengths, mistakes, and support

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abus
    -0.81
    ghai
    -0.78
    arth
    -0.76
    ocene
    -0.71
    thinkable
    -0.71
    orks
    -0.68
    assium
    -0.68
    ilater
    -0.67
    itaire
    -0.66
    arthy
    -0.66
    POSITIVE LOGITS
     ally
    0.97
     foray
    0.93
     selves
    0.93
     rivals
    0.91
     adversary
    0.91
     rival
    0.89
     competitor
    0.88
     asset
    0.88
     collaborator
    0.87
     possessions
    0.86
    Activations Density 0.189%

    No Known Activations