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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. 11477
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    Explanations

    verbs related to actions being carried out

    oai_token-act-pair · gpt-3.5-turbo

    terms related to accusations or claims that hold certain weight or significance

    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
    enegger
    -0.85
     amen
    -0.70
     Sidd
    -0.69
    natureconservancy
    -0.69
    áµ
    -0.67
     Mub
    -0.66
     Constantin
    -0.64
    soDeliveryDate
    -0.64
    icho
    -0.63
     Quantum
    -0.62
    POSITIVE LOGITS
     leveled
    1.43
     leve
    1.38
    lled
    1.00
    lling
    0.93
     leveling
    0.89
    ldon
    0.83
    sheet
    0.80
    ensional
    0.78
    tones
    0.78
    aton
    0.74
    Activations Density 0.014%

    No Known Activations