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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. 11-RES-JB
    6. 8690
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    INDEX
    Explanations

    adjectives describing a distinct or specific quality

    oai_token-act-pair · gpt-3.5-turbo

    references to specific qualities or attributes associated with things or experiences

    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
    agents
    -0.86
    apers
    -0.82
    asks
    -0.80
    measures
    -0.78
    osponsors
    -0.77
    lations
    -0.76
     Worse
    -0.75
    sites
    -0.75
     Cases
    -0.75
    ãĥĥãĥī
    -0.74
    POSITIVE LOGITS
     vibe
    1.48
     aura
    1.41
     intimacy
    1.33
     sense
    1.32
     uniqueness
    1.26
     elegance
    1.25
     familiarity
    1.25
     urgency
    1.24
     feeling
    1.23
     immedi
    1.23
    Activations Density 0.371%

    No Known Activations