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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. 2-RES-JB
    11. 15826
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    technical symbols or special characters in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sky
    -0.77
    holm
    -0.74
    frames
    -0.72
    arez
    -0.66
    ahime
    -0.65
    ells
    -0.65
    ature
    -0.65
    frame
    -0.65
    hiro
    -0.64
    fram
    -0.64
    POSITIVE LOGITS
    âĢ¢âĢ¢
    0.91
    âĢ¢âĢ¢âĢ¢âĢ¢
    0.85
     ÃĹ
    0.78
    ··
    0.72
    pload
    0.65
     sting
    0.64
    Cost
    0.61
    isine
    0.60
     bunny
    0.60
    \\\\\\\\
    0.59
    Activations Density 0.006%

    No Known Activations