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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. 20576
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    INDEX
    Explanations

    proper nouns or names such as locations, people, events, and organizations

    oai_token-act-pair · gpt-3.5-turbo

    names of locations and institutions

    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
     fabrication
    -0.67
    Reviewer
    -0.66
    staking
    -0.65
    ancial
    -0.57
    PLA
    -0.57
     cryptocurrencies
    -0.56
    Footnote
    -0.56
     alike
    -0.55
     anonymity
    -0.53
     warranted
    -0.53
    POSITIVE LOGITS
     âĵĺ
    0.94
     00000000
    0.74
     -----
    0.73
     ------
    0.68
     |--
    0.68
     Extras
    0.68
     (?,
    0.67
    abama
    0.66
     ..............
    0.66
     pt
    0.65
    Activations Density 0.481%

    No Known Activations