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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. 1-RES-JB
    11. 17998
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    Explanations

    acronyms related to audiovisual or broadcasting contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to audio-visual content or formats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Schultz
    -0.69
     constant
    -0.68
     unfor
    -0.68
     lamb
    -0.67
     depress
    -0.66
     hey
    -0.64
     speaking
    -0.64
     Coke
    -0.64
     Bolton
    -0.62
     Kinder
    -0.62
    POSITIVE LOGITS
    AV
    1.24
    PLIC
    1.21
    ILLE
    1.05
    atars
    1.04
    irtual
    1.03
    BAT
    0.95
    ILE
    0.93
    irus
    0.92
    ISE
    0.90
    ascular
    0.90
    Activations Density 0.005%

    No Known Activations