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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 8148
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    INDEX
    Explanations

    references to specific names or surnames

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals

    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
    ãĥ´ãĤ¡
    -0.72
    FUL
    -0.71
     prevailing
    -0.67
    ettel
    -0.65
     wheelchair
    -0.63
     vested
    -0.63
     sten
    -0.62
     dysph
    -0.59
     flush
    -0.59
    ãĤ·ãĥ£
    -0.58
    POSITIVE LOGITS
    nih
    1.37
     Moy
    1.32
    lio
    0.91
    esy
    0.85
    stad
    0.84
    areth
    0.83
    lan
    0.83
    nam
    0.80
    ety
    0.80
    sters
    0.79
    Activations Density 0.009%

    No Known Activations