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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. 8106
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    Explanations

    words related to clean and contaminated sources of drinking water

    oai_token-act-pair · gpt-3.5-turbo

    references to drinking water issues

    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
    Reloaded
    -0.71
    pload
    -0.67
    usp
    -0.67
     Torment
    -0.67
    asio
    -0.65
    eering
    -0.63
    Inv
    -0.61
    asms
    -0.60
    bable
    -0.60
    ique
    -0.60
    POSITIVE LOGITS
    melon
    1.26
     piping
    0.90
     heater
    0.90
     fluor
    0.83
     irrig
    0.83
    pipe
    0.82
     fluoride
    0.82
     soluble
    0.81
    holes
    0.81
     advis
    0.80
    Activations Density 0.039%

    No Known Activations