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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. 8-RES-JB
    11. 14433
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    INDEX
    Explanations

    the word "remind" or its variations to draw attention to information

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "remind" or its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adesh
    -0.81
    glers
    -0.70
    lat
    -0.69
    querque
    -0.69
    INA
    -0.67
    inals
    -0.65
    abad
    -0.65
    á
    -0.65
     separates
    -0.65
    inates
    -0.64
    POSITIVE LOGITS
    ĸļ
    0.88
    ingly
    0.86
     us
    0.75
     remind
    0.75
     readers
    0.72
    ón
    0.72
    isance
    0.69
    ening
    0.68
    phas
    0.67
    cient
    0.67
    Activations Density 0.028%

    No Known Activations