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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. 11-RES-JB
    11. 6296
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    Explanations

    keywords related to data storage capacity

    oai_token-act-pair · gpt-3.5-turbo

    references to gigabytes and gigawatts in the context of technology and energy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CONTROL
    -0.70
    SHIP
    -0.62
    WAYS
    -0.62
    matter
    -0.62
     JR
    -0.61
    FIELD
    -0.61
     Cody
    -0.58
    090
    -0.58
     CN
    -0.58
    USER
    -0.58
    POSITIVE LOGITS
    abyte
    1.70
    abit
    1.68
    abytes
    1.58
    antic
    1.44
    awatts
    1.35
    apixel
    1.34
    ante
    1.24
    aton
    1.24
    antes
    1.21
    antically
    1.10
    Activations Density 0.024%

    No Known Activations