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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. 3-RES-JB
    11. 4072
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    INDEX
    Explanations

    individual words within longer sentences or phrases

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "words" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ño
    -0.78
    DERR
    -0.76
     Skydragon
    -0.69
    roxy
    -0.67
    ramid
    -0.66
    xtap
    -0.66
     Leica
    -0.65
    vy
    -0.64
     millenn
    -0.64
    izo
    -0.62
    POSITIVE LOGITS
    mith
    1.40
     uttered
    0.93
     words
    0.91
    terday
    0.90
     spoken
    0.86
     aloud
    0.86
    sworth
    0.82
    poons
    0.78
    speak
    0.77
    words
    0.75
    Activations Density 0.019%

    No Known Activations