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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. 8015
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    Explanations

    words related to optics and eye care

    oai_token-act-pair · gpt-3.5-turbo

    references to various aspects of optical applications and technologies

    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
    INESS
    -0.75
    Hamilton
    -0.72
    è¦ļéĨĴ
    -0.71
    ãĥīãĥ©ãĤ´ãĥ³
    -0.68
    ppo
    -0.67
     è£ı
    -0.66
    ãĥĨãĤ£
    -0.65
    UGH
    -0.64
    holding
    -0.63
    handed
    -0.62
    POSITIVE LOGITS
    imum
    1.10
     Opt
    0.98
    imal
    0.97
    raviolet
    0.90
     opt
    0.90
    ilon
    0.87
     pse
    0.85
    ima
    0.85
    icians
    0.84
    ometry
    0.83
    Activations Density 0.004%

    No Known Activations