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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. 7-RES-JB
    11. 1732
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    Explanations

    statements made by individuals

    oai_token-act-pair · gpt-3.5-turbo

    statements or claims made by individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    JV
    -0.80
    Ranked
    -0.76
    OTAL
    -0.75
     Combine
    -0.71
    2019
    -0.68
    ctors
    -0.67
    Sensor
    -0.66
    Sync
    -0.65
     Jackets
    -0.64
    earable
    -0.62
    POSITIVE LOGITS
     repeatedly
    1.05
    avering
    0.88
     since
    0.87
     unequivocally
    0.80
     numerous
    0.78
     stren
    0.74
    aji
    0.71
     extensively
    0.70
     emphatically
    0.70
     contingency
    0.69
    Activations Density 0.191%

    No Known Activations