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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. 7-RES-JB
    11. 4016
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    INDEX
    Explanations

    phrases with unusual characters and code

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of strong emotional or impactful reactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     glare
    -0.79
     XIII
    -0.64
     snatched
    -0.63
    hement
    -0.61
     Slug
    -0.60
     Sorce
    -0.58
     opt
    -0.58
     Ying
    -0.58
     etiquette
    -0.58
     Stevenson
    -0.58
    POSITIVE LOGITS
    ³³³³³³³³³³³³³³³³
    0.89
    ó
    0.85
    ³³³³³³³³
    0.82
    skirts
    0.81
    accompan
    0.81
    cedented
    0.80
    eq
    0.79
    union
    0.77
    dl
    0.77
    uber
    0.77
    Activations Density 0.172%

    No Known Activations