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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. 10-RES-JB
    11. 5613
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    INDEX
    Explanations

    physical actions or interventions

    oai_token-act-pair · gpt-3.5-turbo

    instances of high-stakes or critical discussions about societal and environmental issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    senal
    -0.65
    ennes
    -0.62
     hiber
    -0.60
     burg
    -0.60
    £ı
    -0.58
    ussian
    -0.55
    aturdays
    -0.55
    hattan
    -0.55
    cius
    -0.54
     cos
    -0.53
    POSITIVE LOGITS
     Franch
    0.72
    Course
    0.72
    âĵĺ
    0.70
    ↵
    0.65
     Proced
    0.65
    Trigger
    0.64
    Educ
    0.64
    Limit
    0.63
    Optional
    0.63
     Inqu
    0.61
    Activations Density 0.209%

    No Known Activations