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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. 3-RES-JB
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    Explanations

    mentions of government ministers

    oai_token-act-pair · gpt-3.5-turbo

    references to government officials or ministers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ASED
    -0.80
    RANT
    -0.72
    \\\\\\\\\\\\\\\\
    -0.70
     Samurai
    -0.69
    go
    -0.68
    URRENT
    -0.68
    FOR
    -0.65
     Nation
    -0.64
    YES
    -0.64
    Trend
    -0.64
    POSITIVE LOGITS
    hips
    1.19
    hip
    1.17
     ministers
    1.11
    mith
    0.93
     ministerial
    0.93
     Ministers
    0.91
     secretaries
    0.87
    agascar
    0.85
    afety
    0.84
     minister
    0.83
    Activations Density 0.009%

    No Known Activations