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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. 9-RES-JB
    11. 19500
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    INDEX
    Explanations

    difficult-to-achieve or challenging concepts or situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating difficulty or struggle

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.77
     supervised
    -0.71
     contrace
    -0.69
    iage
    -0.62
     inferior
    -0.61
     Role
    -0.61
     virginity
    -0.61
    robe
    -0.60
     destro
    -0.59
    anship
    -0.58
    POSITIVE LOGITS
    ecd
    0.83
     understatement
    0.80
     anecdotal
    0.78
     rhetorical
    0.76
     Orwell
    0.75
    bole
    0.74
     gloss
    0.73
     succinct
    0.72
     understandable
    0.72
    speak
    0.71
    Activations Density 0.597%

    No Known Activations