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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. 4-RES-JB
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    Explanations

    mentions of different types of water and instructions involving water as a key element

    oai_token-act-pair · gpt-3.5-turbo

    references to water consumption

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

    No Comments

    Negative Logits
    eering
    -0.93
    Reloaded
    -0.86
    Files
    -0.80
     guiActiveUn
    -0.70
    posts
    -0.68
    asms
    -0.67
    forestation
    -0.64
    eways
    -0.64
    eki
    -0.63
     Calendar
    -0.62
    POSITIVE LOGITS
    melon
    1.64
     soluble
    1.01
     vapor
    1.00
    mel
    0.98
     fluor
    0.91
     fluoride
    0.90
     bottle
    0.90
    loo
    0.89
     disinfect
    0.87
     bath
    0.87
    Activations Density 0.023%

    No Known Activations