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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. 11-RES-JB
    11. 21694
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    Explanations

    verbs and phrases related to taking action to prevent negative consequences or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    words related to political strategies and maneuvers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     wont
    -0.79
     laughing
    -0.75
     characteristic
    -0.75
     gigg
    -0.75
     liking
    -0.73
     guesses
    -0.73
     whining
    -0.69
     jokes
    -0.68
     plotted
    -0.67
     guessing
    -0.66
    POSITIVE LOGITS
    ablish
    1.08
    igmat
    1.07
    arbon
    1.07
    ilit
    1.05
    abil
    1.01
    ify
    1.00
    ructure
    0.98
    activate
    0.98
    establish
    0.96
    oke
    0.95
    Activations Density 0.102%

    No Known Activations