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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
    11. 9078
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    Explanations

    words related to recognition or awareness

    oai_token-act-pair · gpt-3.5-turbo

    words related to recognition and cognizance

    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
    bury
    -0.72
     mileage
    -0.68
    scenes
    -0.67
    hours
    -0.66
    Far
    -0.65
     Beir
    -0.65
    RESULTS
    -0.62
    76561
    -0.61
     setbacks
    -0.61
     Mek
    -0.61
    POSITIVE LOGITS
    isance
    1.10
    ocent
    1.09
    ition
    1.09
    icious
    1.03
    itives
    1.02
    ational
    1.00
    omore
    0.99
    ogn
    0.98
    ormal
    0.97
    ificent
    0.97
    Activations Density 0.007%

    No Known Activations