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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 7596
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    Explanations

    words related to planning, development, and progress

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to financial issues and economic consequences

    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
    ials
    -0.68
    addon
    -0.66
    ennett
    -0.64
    arter
    -0.59
    ants
    -0.59
     Serpent
    -0.58
     ><
    -0.58
    midt
    -0.57
    uder
    -0.53
    ainers
    -0.53
    POSITIVE LOGITS
     antit
    0.59
    won
    0.52
     Euros
    0.51
     hitherto
    0.50
    ģĸ
    0.50
     copyrighted
    0.48
     incidentally
    0.48
     otherwise
    0.47
     detrimental
    0.47
     belonged
    0.47
    Activations Density 0.691%

    No Known Activations