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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. 11-RES-JB
    11. 17190
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    INDEX
    Explanations

    technical terms and measurements

    oai_token-act-pair · gpt-3.5-turbo

    key actions and significant quantities related to legislative and financial contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dayName
    -0.66
    SpaceEngineers
    -0.63
    taboola
    -0.62
    catentry
    -0.57
    EStreamFrame
    -0.56
    etc
    -0.53
    crop
    -0.52
    oké
    -0.51
    eworld
    -0.47
    fml
    -0.46
    POSITIVE LOGITS
     54
    1.52
     46
    1.49
     55
    1.48
     56
    1.48
     57
    1.47
     44
    1.47
     62
    1.47
     52
    1.47
     42
    1.47
     34
    1.46
    Activations Density 1.099%

    No Known Activations