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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. 2-RES-JB
    11. 11044
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    text related to magnets

    oai_token-act-pair · gpt-3.5-turbo

    terms related to magnets and magnetic fields

    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
    AKING
    -0.82
    OWS
    -0.79
    ãģį
    -0.78
    PE
    -0.77
    ----------------------------------------------------------------
    -0.75
    20439
    -0.74
    soDeliveryDate
    -0.73
    --------------------------------------------------------
    -0.70
    ELL
    -0.70
    Late
    -0.69
    POSITIVE LOGITS
     magnet
    1.20
    ically
    1.09
    ometer
    1.09
    netic
    1.07
    ometers
    1.04
     magnets
    1.03
    ificent
    0.97
    ism
    0.89
    istrate
    0.88
    itionally
    0.88
    Activations Density 0.004%

    No Known Activations