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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. 3-RES-JB
    11. 24274
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    Explanations

    terms related to magnets, magnetism, and magnetic fields

    oai_token-act-pair · gpt-3.5-turbo

    references to magnets and magnetic properties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AKING
    -0.86
    ãģį
    -0.82
    OWS
    -0.75
    soDeliveryDate
    -0.73
    IRD
    -0.70
    ----------------------------------------------------------------
    -0.69
    PE
    -0.69
    Late
    -0.66
    20439
    -0.66
    Chance
    -0.66
    POSITIVE LOGITS
     magnet
    1.18
     magnets
    1.09
    netic
    1.08
    ically
    1.04
    ometer
    1.01
    ometers
    1.00
    ohyd
    0.97
    ificent
    0.97
     Magnet
    0.90
    ographs
    0.88
    Activations Density 0.006%

    No Known Activations