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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. 5514
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    INDEX
    Explanations

    action words related to taking initiative and making a call to action

    oai_token-act-pair · gpt-3.5-turbo

    calls to action and the promotion of engagement

    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
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    No Comments

    Negative Logits
    imar
    -0.87
     Pwr
    -0.82
    ÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤÃĥÃĤ
    -0.78
     teasp
    -0.78
    empt
    -0.78
    ÃĥÃĤ
    -0.78
    ÃĥÃĤÃĥÃĤ
    -0.77
    slaught
    -0.75
    Attempts
    -0.75
    ansion
    -0.75
    POSITIVE LOGITS
     metaphors
    1.33
     podcasts
    1.31
     interactive
    1.27
     anecdotes
    1.26
     tools
    1.24
     databases
    1.22
     diagrams
    1.21
     algorithms
    1.21
     visualization
    1.19
     storytelling
    1.17
    Activations Density 0.407%

    No Known Activations