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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. 9-RES-JB
    11. 3371
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    Explanations

    numbers with decimal points

    oai_token-act-pair · gpt-3.5-turbo

    negative numerical values or indicators, particularly related to measurements and ratings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Swordsman
    -0.72
     Airways
    -0.70
    ulhu
    -0.70
     Silk
    -0.68
     Sik
    -0.66
     sacrific
    -0.66
     Twain
    -0.66
     Tus
    -0.64
    omas
    -0.64
     Athe
    -0.63
    POSITIVE LOGITS
    billion
    1.33
    sized
    1.32
    million
    1.21
    caliber
    1.13
    hour
    1.13
    inch
    1.12
    ranked
    1.11
    liter
    1.10
    based
    1.09
    meter
    1.08
    Activations Density 0.071%

    No Known Activations