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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. 0-RES-JB
    11. 2470
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    Explanations

    spices and chemical compounds

    oai_token-act-pair · gpt-3.5-turbo

    specific names and terms related to individuals and food ingredients

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âī
    -0.73
     extrad
    -0.67
     Cable
    -0.66
     telesc
    -0.66
     optim
    -0.65
     Eag
    -0.64
     Crowd
    -0.64
    kefeller
    -0.63
     Magnet
    -0.63
    hood
    -0.63
    POSITIVE LOGITS
    rika
    4.21
    rites
    1.69
    rite
    1.55
    yrus
    1.51
    rique
    1.15
    ryn
    1.10
    arya
    1.01
    vette
    0.99
    rity
    0.99
    ritic
    0.95
    Activations Density 0.029%

    No Known Activations