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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
    11. 9187
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    Explanations

    references to historical revolutions

    oai_token-act-pair · gpt-3.5-turbo

    references to various historical revolutions

    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
    %%%%
    -0.83
    cedented
    -0.81
    thy
    -0.72
    gow
    -0.72
    ECA
    -0.67
    odynamic
    -0.66
    OTH
    -0.66
    visual
    -0.65
    NetMessage
    -0.65
    worldly
    -0.65
    POSITIVE LOGITS
    aries
    1.46
    naire
    1.20
     Revolution
    1.06
    ary
    1.05
    aire
    0.86
    Revolution
    0.81
    eers
    0.78
    urrection
    0.78
    arily
    0.76
    aires
    0.76
    Activations Density 0.016%

    No Known Activations