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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. 21283
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    Explanations

    specific mentions of Amazon Kindle devices in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to the Kindle e-reader and its features

    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
    nel
    -0.84
    aird
    -0.80
     Shinra
    -0.77
    dinand
    -0.75
    dayName
    -0.72
    ality
    -0.71
    ndum
    -0.70
    isson
    -0.70
    xual
    -0.70
    xon
    -0.67
    POSITIVE LOGITS
    Books
    0.77
     Fires
    0.74
    lishing
    0.74
     Kindle
    0.74
     Haram
    0.72
    THER
    0.72
    berger
    0.71
     Torch
    0.69
     Fire
    0.67
    Ware
    0.67
    Activations Density 0.043%

    No Known Activations