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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. 6-RES-JB
    11. 17009
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    Explanations

    mentions or descriptions related to "Kindle" devices

    oai_token-act-pair · gpt-3.5-turbo

    references to the brand "Kind" and its products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    è¦ļéĨĴ
    -0.87
    IVER
    -0.70
    URRENT
    -0.67
    berus
    -0.66
    ptions
    -0.66
    VEL
    -0.66
    izo
    -0.65
    ATHER
    -0.64
    âĸ¬
    -0.64
     ABE
    -0.64
    POSITIVE LOGITS
    ness
    0.99
    ening
    0.90
    red
    0.88
    hearted
    0.86
    uin
    0.86
    elf
    0.85
    ened
    0.85
    entimes
    0.84
    leness
    0.83
    erman
    0.83
    Activations Density 0.029%

    No Known Activations