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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. 16352
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    INDEX
    Explanations

    words related to excelling or excellence

    oai_token-act-pair · gpt-3.5-turbo

    terms related to achievement and excellence

    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
    alien
    -0.77
    folk
    -0.75
     Stockholm
    -0.73
    女
    -0.73
    meal
    -0.69
    ople
    -0.68
    Closure
    -0.67
     Helsinki
    -0.65
    ethnic
    -0.63
    esthetic
    -0.62
    POSITIVE LOGITS
     exce
    1.10
     tremend
    1.05
     excel
    1.04
     Excellence
    0.87
    uates
    0.87
     excellence
    0.84
     shines
    0.83
    querque
    0.82
    imum
    0.79
    atography
    0.76
    Activations Density 0.011%

    No Known Activations