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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. 8-RES-JB
    11. 1765
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    Explanations

    keywords related to compensation and escalation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to compensation and escalation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PDATE
    -0.85
     Belt
    -0.72
    WARD
    -0.71
     Penet
    -0.66
    forth
    -0.66
     vengeance
    -0.65
     belt
    -0.65
     Shack
    -0.64
    dress
    -0.62
     Colossus
    -0.61
    POSITIVE LOGITS
    ations
    2.01
    ators
    1.89
    ator
    1.88
    atory
    1.87
    ating
    1.79
    ational
    1.79
    ates
    1.71
    ative
    1.61
    ated
    1.41
    atable
    1.37
    Activations Density 0.092%

    No Known Activations