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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 1213
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    Explanations

    mentions of governmental ministries

    oai_token-act-pair · gpt-3.5-turbo

    names of governmental ministries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    bre
    -0.70
    jad
    -0.66
    DonaldTrump
    -0.65
    COMPLE
    -0.65
    bleacher
    -0.64
    âĸ¬âĸ¬
    -0.63
    gers
    -0.62
     Eclipse
    -0.62
    schild
    -0.61
     redd
    -0.61
    POSITIVE LOGITS
    idium
    0.95
    istry
    0.85
    onse
    0.81
     apparatus
    0.80
     Ministry
    0.78
    Office
    0.77
    abulary
    0.75
     ministries
    0.75
    perty
    0.74
    artment
    0.74
    Activations Density 0.023%

    No Known Activations