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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 18294
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    Explanations

    technical terms related to physical infrastructure and technology

    oai_token-act-pair · gpt-3.5-turbo

    elements related to physical and emotional states or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aroo
    -0.63
    alion
    -0.61
    hovah
    -0.60
    KK
    -0.58
    icipated
    -0.58
     sqor
    -0.57
    bernatorial
    -0.56
    paid
    -0.53
     tyr
    -0.53
     Adin
    -0.53
    POSITIVE LOGITS
    phia
    0.67
    pour
    0.66
    atography
    0.63
    imeters
    0.60
     tamp
    0.55
     Sanct
    0.55
     veins
    0.53
    organic
    0.53
    natureconservancy
    0.52
    Pref
    0.52
    Activations Density 1.538%

    No Known Activations