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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. 9-RES-JB
    11. 23046
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    Explanations

    topics related to government, policies, conflicts, and societal issues

    oai_token-act-pair · gpt-3.5-turbo

    topics related to social and political issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    awks
    -0.60
    BuyableInstoreAndOnline
    -0.60
    ushes
    -0.55
     Hawks
    -0.51
    iencies
    -0.51
    axter
    -0.50
    Chan
    -0.49
    phies
    -0.49
    catentry
    -0.48
    wcsstore
    -0.48
    POSITIVE LOGITS
    .''.
    0.93
     versus
    0.88
    .
    0.82
    .</
    0.78
    .�
    0.77
     differently
    0.75
    .''
    0.75
     withd
    0.74
    .[
    0.73
    .(
    0.72
    Activations Density 0.866%

    No Known Activations