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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. 1-RES-JB
    11. 5354
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    Explanations

    names containing "Gra" followed by a numeric value

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Gra" or variations of it, indicating a focus on a specific person or entity associated with that name

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CPC
    -0.91
    ional
    -0.86
    iary
    -0.70
    ansion
    -0.70
    lies
    -0.69
     AQ
    -0.66
    terson
    -0.65
    yright
    -0.65
     Beijing
    -0.65
    payer
    -0.64
    POSITIVE LOGITS
    ffiti
    1.20
    veyard
    1.14
    veland
    0.91
     Gra
    0.91
    gra
    0.89
    Gra
    0.87
    hog
    0.86
    vel
    0.83
    hab
    0.80
    ven
    0.79
    Activations Density 0.007%

    No Known Activations