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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. 12469
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    INDEX
    Explanations

    concepts related to focus, priorities, and allocation of attention and resources

    oai_token-act-pair · gpt-3.5-turbo

    themes related to focus and priorities in various contexts

    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
    anon
    -0.73
    pas
    -0.65
    furt
    -0.63
    wrote
    -0.63
    itely
    -0.62
     Polic
    -0.59
    pires
    -0.58
    outed
    -0.58
    quished
    -0.58
     ?)
    -0.57
    POSITIVE LOGITS
     rather
    1.33
     instead
    1.19
    rather
    1.11
     fundamentals
    1.04
     matters
    1.02
     aspects
    0.99
     basics
    0.94
     topics
    0.91
     aspect
    0.89
     pursuits
    0.89
    Activations Density 0.455%

    No Known Activations