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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. 1210
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    INDEX
    Explanations

    terms related to competition and competency

    oai_token-act-pair · gpt-3.5-turbo

    references to competition and competencies

    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
    joy
    -0.74
     Spice
    -0.68
     shelter
    -0.64
     Lans
    -0.63
     joy
    -0.63
     vengeance
    -0.62
    ARM
    -0.62
     Pharaoh
    -0.61
     delight
    -0.61
     Viking
    -0.60
    POSITIVE LOGITS
    querque
    1.09
     compet
    1.05
    emark
    1.04
    estyles
    1.01
    anooga
    1.00
    emouth
    0.99
     Compet
    0.97
    leground
    0.96
    ively
    0.93
    ibilities
    0.93
    Activations Density 0.008%

    No Known Activations