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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. 1-RES-JB
    11. 14075
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    Explanations

    the word "Ultimate" at different levels of intensity

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "Ultimate."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    taboola
    -0.85
    places
    -0.82
    rooms
    -0.78
    xual
    -0.76
    gow
    -0.75
    Ö¼
    -0.75
    gone
    -0.73
    pherd
    -0.72
    vere
    -0.70
    ppings
    -0.69
    POSITIVE LOGITS
     Ultimate
    0.95
    raviolet
    0.79
     millenn
    0.76
    Ultimate
    0.73
    uesday
    0.72
     Federation
    0.71
    reme
    0.70
     Guide
    0.69
     Golf
    0.69
    antha
    0.68
    Activations Density 0.003%

    No Known Activations