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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. 3459
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    INDEX
    Explanations

    proper nouns or titles

    oai_token-act-pair · gpt-3.5-turbo

    significant events or notable titles

    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
    arching
    -0.75
    strate
    -0.72
    furt
    -0.71
    conservancy
    -0.68
    iliated
    -0.65
    asio
    -0.64
     Polo
    -0.63
    successfully
    -0.62
    bending
    -0.60
    querque
    -0.60
    POSITIVE LOGITS
    sic
    0.84
    "}
    0.80
     Dictionary
    0.79
    "],
    0.78
    ????????
    0.70
    ="
    0.70
    =""
    0.68
    Ô
    0.68
    SPONSORED
    0.68
    Said
    0.67
    Activations Density 0.697%

    No Known Activations