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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. 14173
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    INDEX
    Explanations

    phrases indicating hope or expectation

    oai_token-act-pair · gpt-3.5-turbo

    statements about hopes, expectations, and the potential outcomes of actions

    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
     Uses
    -0.68
     Installation
    -0.67
     prefers
    -0.66
     Incarnation
    -0.65
     adapting
    -0.62
     climbs
    -0.61
     handles
    -0.61
     Wit
    -0.61
     strives
    -0.60
     Version
    -0.60
    POSITIVE LOGITS
     provoke
    1.20
     incite
    1.17
     reverber
    1.12
     prompt
    1.11
     incrim
    1.11
     embarrass
    1.10
     horr
    1.09
     intimidate
    1.09
     tarn
    1.09
     embold
    1.08
    Activations Density 0.166%

    No Known Activations