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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
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    Explanations

    mentions of magnets and terms related to magnetism

    oai_token-act-pair · gpt-3.5-turbo

    references 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 @ 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
    ãģį
    -0.85
    AKING
    -0.82
    soDeliveryDate
    -0.80
    OWS
    -0.75
     Costa
    -0.73
    à©
    -0.71
     Columb
    -0.70
    ----------------------------------------------------------------
    -0.69
    CI
    -0.69
    IRD
    -0.68
    POSITIVE LOGITS
    netic
    1.09
     magnet
    1.06
    ohyd
    1.05
    ically
    1.04
    ometers
    1.02
     magnets
    1.02
    ometer
    1.01
    ificent
    1.00
    azines
    0.94
    worms
    0.93
    Activations Density 0.009%

    No Known Activations