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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. 7-RES-JB
    11. 12552
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    Explanations

    mentions of water-related issues, specifically pertaining to drinking water quality and safety

    oai_token-act-pair · gpt-3.5-turbo

    references to drinking water

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eering
    -0.76
     Torment
    -0.74
    ature
    -0.73
    Reloaded
    -0.72
    pload
    -0.71
    asio
    -0.67
    roup
    -0.64
    ificant
    -0.64
    Files
    -0.64
    otine
    -0.64
    POSITIVE LOGITS
    melon
    1.57
    falls
    0.99
    colour
    0.93
     fluor
    0.92
    tight
    0.92
    mel
    0.89
    borne
    0.84
     vapor
    0.84
     heater
    0.84
     advis
    0.83
    Activations Density 0.032%

    No Known Activations