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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. 11192
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    Explanations

    specific phrases related to water sports, such as "water polo" and "water dragon breeder"

    oai_token-act-pair · gpt-3.5-turbo

    references to water and its related contexts, particularly in sports and environmental discussions

    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
    hower
    -1.02
    Ô
    -0.85
    Dialogue
    -0.73
    actionDate
    -0.72
    SPONSORED
    -0.69
    rawdownloadcloneembedreportprint
    -0.68
    Gaming
    -0.67
    VILLE
    -0.67
    iscopal
    -0.63
    «ĺ
    -0.63
    POSITIVE LOGITS
    ioxide
    0.77
    ancy
    0.72
     centrif
    0.70
     inhal
    0.69
     extingu
    0.68
     wastewater
    0.68
     destro
    0.67
     electroly
    0.66
     dams
    0.65
     heater
    0.64
    Activations Density 0.308%

    No Known Activations