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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. 1-RES-JB
    11. 22548
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    Explanations

    names associated with political figures named "Viktor" and words related to political actions such as "purge" and "cleansing"

    oai_token-act-pair · gpt-3.5-turbo

    references to political figures and actions of removal or cleansing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     veter
    -0.90
    psons
    -0.88
    kefeller
    -0.82
    pton
    -0.76
    ents
    -0.75
     unden
    -0.75
    phies
    -0.74
    ble
    -0.73
    psey
    -0.73
    hiba
    -0.71
    POSITIVE LOGITS
    igation
    0.82
    istical
    0.78
     purge
    0.71
     Ceres
    0.70
    edIn
    0.70
    waters
    0.68
     Nanto
    0.68
     Archdemon
    0.67
     LS
    0.67
     Perse
    0.66
    Activations Density 0.032%

    No Known Activations