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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. 6-RES-JB
    11. 9839
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    Explanations

    words related to scanning or scanning devices

    oai_token-act-pair · gpt-3.5-turbo

    terms related to scanning and scanning processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     impunity
    -0.64
     Cind
    -0.61
    soDeliveryDate
    -0.61
     manslaughter
    -0.61
     defe
    -0.59
    death
    -0.59
    Aid
    -0.59
    OTAL
    -0.58
     Kut
    -0.58
    soType
    -0.58
    POSITIVE LOGITS
    lator
    1.13
     scans
    1.08
     scan
    1.03
    lations
    0.99
    ning
    0.90
     scanning
    0.88
     scanners
    0.87
     Scan
    0.85
    lation
    0.85
     scanner
    0.80
    Activations Density 0.023%

    No Known Activations