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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. 0-RES-JB
    11. 2395
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    Explanations

    words with accents or special characters like "é" which is likely related to a specific type of encoding or language

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific accented character or symbol

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Raiders
    -0.71
     Titans
    -0.67
     haw
    -0.66
     hawk
    -0.66
     Saw
    -0.65
     torch
    -0.64
     WS
    -0.63
     Hok
    -0.62
     undecided
    -0.61
     swinging
    -0.60
    POSITIVE LOGITS
    é
    4.16
    és
    2.82
    ée
    2.74
    Ãī
    2.55
    è
    2.24
    ér
    2.09
    ét
    2.08
    én
    1.94
    ère
    1.89
     Ãī
    1.81
    Activations Density 0.010%

    No Known Activations