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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. 16847
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    Explanations

    proper nouns or names

    oai_token-act-pair · gpt-3.5-turbo

    words related to horses or equine themes

    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
    aeper
    -0.69
    rylic
    -0.68
     ginger
    -0.64
    esters
    -0.62
     meticulously
    -0.61
    ists
    -0.61
    onym
    -0.60
     unintentionally
    -0.60
     unknow
    -0.59
     subconscious
    -0.57
    POSITIVE LOGITS
    orse
    1.06
    ments
    0.94
    lihood
    0.86
    MENTS
    0.85
     Reincarn
    0.82
    ment
    0.78
    ãĥĨ
    0.76
    ा
    0.74
    manship
    0.73
    MENT
    0.70
    Activations Density 0.007%

    No Known Activations