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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. 6-RES-JB
    11. 10701
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    INDEX
    Explanations

    sentences with the word "deeply."

    oai_token-act-pair · gpt-3.5-turbo

    intense expressions of emotion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ulia
    -0.77
    ordan
    -0.75
     Millennium
    -0.74
     Citation
    -0.74
    pload
    -0.73
    amins
    -0.73
    eer
    -0.69
    iful
    -0.68
    ifully
    -0.67
    iris
    -0.67
    POSITIVE LOGITS
     ingrained
    1.04
     rooted
    0.89
     entrenched
    0.86
     embedded
    0.83
     immersed
    0.83
     connected
    0.80
     saddened
    0.76
     implicated
    0.76
     intertwined
    0.76
     enough
    0.76
    Activations Density 0.019%

    No Known Activations