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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. 4-RES-JB
    11. 16984
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    Explanations

    numerical percentages

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to common sense and real-world practicality

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

    No Comments

    Negative Logits
     Rica
    -0.79
     Wiz
    -0.78
     Irma
    -0.74
     Norris
    -0.72
     Dickinson
    -0.72
     Shutterstock
    -0.71
     Shaw
    -0.71
     Scotia
    -0.69
    ulhu
    -0.69
     Maher
    -0.69
    POSITIVE LOGITS
    sounding
    1.26
    based
    1.25
    sized
    1.21
    style
    1.15
    to
    1.14
    level
    1.12
    looking
    1.11
    minded
    1.10
    eyed
    1.09
    issue
    1.07
    Activations Density 0.187%

    No Known Activations