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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
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    Explanations

    French words and phrases

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the character "é" in various contexts

    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
    caps
    -0.72
    vasive
    -0.71
    tree
    -0.70
    frames
    -0.69
    frame
    -0.68
    anmar
    -0.68
    birth
    -0.67
    kernel
    -0.65
     Apollo
    -0.65
     Exc
    -0.64
    POSITIVE LOGITS
    ét
    1.01
    roit
    0.95
    é
    0.94
    itle
    0.91
    ues
    0.89
    ica
    0.86
    iquette
    0.85
    ablish
    0.85
    én
    0.85
    itles
    0.84
    Activations Density 0.004%

    No Known Activations