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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. 3-RES-JB
    11. 2779
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    Explanations

    words related to chemical compounds and processes

    oai_token-act-pair · gpt-3.5-turbo

    words related to bodily substances or fluids

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kund
    -0.69
     Navajo
    -0.64
     Lak
    -0.61
    shore
    -0.60
     reins
    -0.60
     haste
    -0.59
     Soros
    -0.58
     CNS
    -0.57
     Cherokee
    -0.56
     FP
    -0.55
    POSITIVE LOGITS
    cer
    1.25
    berus
    1.15
    pter
    0.92
    oute
    0.92
    culus
    0.92
    ozo
    0.91
    ipher
    0.89
    ate
    0.89
    sei
    0.86
    rane
    0.84
    Activations Density 0.008%

    No Known Activations