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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. 0-RES-JB
    11. 1457
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    Explanations

    references to technical elements related to payloads and equipment in a technological setting

    oai_token-act-pair · gpt-3.5-turbo

    terms related to power and payloads in technology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Aure
    -0.90
     Chronicles
    -0.85
    encia
    -0.82
    Book
    -0.79
     Elys
    -0.77
    iddles
    -0.71
    ournals
    -0.71
     guiActiveUn
    -0.70
    ghai
    -0.69
     booked
    -0.68
    POSITIVE LOGITS
     POW
    2.38
     payload
    1.78
    ITT
    1.24
     tow
    1.24
     bip
    1.12
     Carrier
    1.08
     parachute
    1.03
     towed
    1.03
     pow
    1.02
     IOC
    1.01
    Activations Density 0.061%

    No Known Activations