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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. 14765
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    Explanations

    French words with accent marks

    oai_token-act-pair · gpt-3.5-turbo

    references to clichés or stereotypes

    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
     cycl
    -0.68
     carrier
    -0.68
     torch
    -0.67
     Caller
    -0.67
     Torch
    -0.66
     stroke
    -0.66
     Iron
    -0.65
     Rot
    -0.62
     Cycl
    -0.62
     Indiana
    -0.62
    POSITIVE LOGITS
    és
    4.54
    é
    2.23
    ée
    2.09
    è
    1.73
    ét
    1.69
    Ãī
    1.65
    ás
    1.54
    ÃŃn
    1.52
    ón
    1.51
    én
    1.51
    Activations Density 0.009%

    No Known Activations