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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. 15524
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    Explanations

    phrases related to political entities like "House Republicans," "House Democrats," and "Senate Republicans."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of government bodies and related entities

    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
    ructure
    -0.86
    bsite
    -0.83
    epad
    -0.83
    issan
    -0.81
    ggle
    -0.79
    agame
    -0.79
    phe
    -0.77
    asket
    -0.75
    otype
    -0.75
    ...]
    -0.74
    POSITIVE LOGITS
     staffers
    0.93
     officials
    0.88
    Leaks
    0.85
     colleagues
    0.84
     dissidents
    0.83
     Advis
    0.82
     insiders
    0.82
     opponents
    0.81
     lawmakers
    0.81
     aides
    0.81
    Activations Density 0.261%

    No Known Activations