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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. 18084
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    Explanations

    phrases related to political and historical contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to politics and societal 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
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    No Comments

    Negative Logits
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.54
    estern
    -0.53
     ?)
    -0.52
    reenshot
    -0.52
    EStreamFrame
    -0.51
    <?
    -0.50
    ãĥĬ
    -0.50
    CHAT
    -0.48
    ¯¯¯¯¯¯¯¯
    -0.48
    ãĥĥãĥĪ
    -0.48
    POSITIVE LOGITS
     elsewhere
    0.77
     abroad
    0.70
     altogether
    0.70
     itself
    0.70
     domestically
    0.69
     overseas
    0.66
    .
    0.65
     internationally
    0.64
     indoors
    0.62
     locally
    0.61
    Activations Density 0.695%

    No Known Activations