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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. 5-RES-JB
    6. 5506
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    Explanations

    text related to recognition or acknowledgment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to recognition and cognitive processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mileage
    -0.71
    bury
    -0.69
    scenes
    -0.67
    anwhile
    -0.64
     setbacks
    -0.64
    HER
    -0.63
    CHAT
    -0.63
    hours
    -0.62
    RESULTS
    -0.62
     Beir
    -0.62
    POSITIVE LOGITS
    ition
    1.11
    isance
    1.09
    itives
    1.06
    ational
    1.04
    ocent
    1.03
    istic
    1.01
    unci
    1.00
    ormal
    0.97
    omore
    0.95
    ificent
    0.95
    Activations Density 0.012%

    No Known Activations