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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 9-RES-JB
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    Explanations

    the name "Sanders"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the politician Bernie Sanders

    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
    ocaust
    -0.83
    ————
    -0.71
    obe
    -0.71
    omaly
    -0.70
     tyr
    -0.69
     cavity
    -0.68
     Kinnikuman
    -0.68
    obar
    -0.65
    ories
    -0.64
     Hitchcock
    -0.63
    POSITIVE LOGITS
     Sanders
    1.03
     Supporters
    1.03
     supporters
    1.01
    Sanders
    0.95
     supporter
    0.93
     Caucus
    0.90
    '
    0.88
     delegates
    0.85
     backers
    0.85
    istas
    0.85
    Activations Density 0.036%

    No Known Activations