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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. 4-RES-JB
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    medical terms related to seizures

    oai_token-act-pair · gpt-3.5-turbo

    terms related to convoys and related collective movements or situations

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

    No Comments

    Negative Logits
    WARE
    -0.78
    BALL
    -0.76
    Root
    -0.69
    ¥µ
    -0.68
    wagen
    -0.67
    white
    -0.66
    back
    -0.65
    blind
    -0.65
    rers
    -0.65
     Principle
    -0.65
    POSITIVE LOGITS
    iques
    1.10
    icts
    1.09
    ise
    1.02
    ique
    1.01
     conv
    0.99
    ulsive
    0.92
    olution
    0.90
    ince
    0.87
    ulsion
    0.86
    isions
    0.85
    Activations Density 0.007%

    No Known Activations