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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. 2-RES-JB
    11. 6383
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    Explanations

    references to data storage capacity, especially in gigabytes (GB)

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     showc
    -0.67
    unct
    -0.64
     precedence
    -0.62
     abdom
    -0.62
    ople
    -0.61
     licens
    -0.61
    ented
    -0.60
    hower
    -0.60
    icians
    -0.60
    zai
    -0.60
    POSITIVE LOGITS
    GB
    1.11
    UGE
    1.02
     GDDR
    0.85
    asper
    0.78
    abytes
    0.77
    oard
    0.77
    roups
    0.76
    FFER
    0.76
    ASE
    0.76
     SSD
    0.74
    Activations Density 0.009%

    No Known Activations