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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. 2-RES-JB
    6. 2308
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    INDEX
    Explanations

    mentions of blockades

    oai_token-act-pair · gpt-3.5-turbo

    terms related to blockades and their implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Sah
    -0.76
    aum
    -0.71
     Bucc
    -0.69
    Polit
    -0.69
    itable
    -0.67
    itar
    -0.67
    ILLE
    -0.67
    orah
    -0.66
    Hart
    -0.66
    ander
    -0.66
    POSITIVE LOGITS
     blockade
    1.45
     blockers
    0.92
     blocker
    0.87
     blocking
    0.86
    wright
    0.82
     ramp
    0.81
     besie
    0.78
     inhibitor
    0.77
     barric
    0.77
    breakers
    0.75
    Activations Density 0.007%

    No Known Activations