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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. 3-RES-JB
    11. 13328
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    INDEX
    Explanations

    specific entities or concepts like "Japanese government", "quintessence", "Hogwarts castle", and "sugar cane industry"

    oai_token-act-pair · gpt-3.5-turbo

    references to government, authority, and societal structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ADRA
    -0.64
    hemy
    -0.63
    DragonMagazine
    -0.63
    MSN
    -0.61
    NetMessage
    -0.61
    Ô
    -0.60
    rencies
    -0.59
    itars
    -0.59
    haps
    -0.59
    sbm
    -0.58
    POSITIVE LOGITS
    iest
    0.93
    osphere
    0.89
    liest
    0.84
     era
    0.78
     aisle
    0.77
     portion
    0.70
     thereof
    0.66
    est
    0.66
     arena
    0.66
     ecosystem
    0.66
    Activations Density 2.051%

    No Known Activations