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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 16222
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    INDEX
    Explanations

    references to political figures and entities

    oai_token-act-pair · gpt-3.5-turbo

    words related to specific individuals or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    channelAvailability
    -0.64
    SHIP
    -0.62
    bourg
    -0.60
     confines
    -0.60
     CPC
    -0.57
     STATS
    -0.55
    resses
    -0.55
     spat
    -0.54
     goats
    -0.54
    azes
    -0.54
    POSITIVE LOGITS
    Wan
    0.91
    leck
    0.85
    ratulations
    0.81
    worldly
    0.80
    wald
    0.76
    uary
    0.71
    aida
    0.70
    yssey
    0.69
    llor
    0.67
    untu
    0.66
    Activations Density 0.090%

    No Known Activations