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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. 24218
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    Explanations

    phrases related to research and development activities

    oai_token-act-pair · gpt-3.5-turbo

    references to "R&D" (research and development) activities

    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
     Nebula
    -0.79
    etheless
    -0.72
    eus
    -0.70
    orious
    -0.69
     Mara
    -0.65
     Luther
    -0.62
     orche
    -0.62
    ogene
    -0.62
     Borg
    -0.60
     ejected
    -0.59
    POSITIVE LOGITS
    IQ
    0.91
    cas
    0.89
    CT
    0.87
    hl
    0.77
    Bs
    0.76
     operator
    0.75
    BM
    0.72
    Cs
    0.70
    impro
    0.70
    HI
    0.70
    Activations Density 0.009%

    No Known Activations