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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. 4791
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    Explanations

    mentions of political ideologies, specifically liberal views

    oai_token-act-pair · gpt-3.5-turbo

    references to liberal ideologies and policies

    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
    iru
    -0.75
    BLE
    -0.70
    pty
    -0.67
    qt
    -0.66
    bley
    -0.64
    breaker
    -0.64
    abba
    -0.64
    Downloadha
    -0.64
     Blazing
    -0.63
    Pokemon
    -0.62
    POSITIVE LOGITS
    ization
    1.21
    izing
    1.15
    izers
    1.06
     arts
    1.06
    izations
    1.00
    ized
    0.99
    isation
    0.94
    izes
    0.91
     leaning
    0.89
    esse
    0.88
    Activations Density 0.022%

    No Known Activations