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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. 9-RES-JB
    11. 3610
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    Explanations

    descriptions related to rare or special occurrences

    oai_token-act-pair · gpt-3.5-turbo

    references to rare or unique animal species

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Account
    -0.82
    Financial
    -0.80
    Netflix
    -0.77
     Telecom
    -0.74
     billing
    -0.73
     SetTextColor
    -0.73
    ettings
    -0.71
     Banking
    -0.71
    VPN
    -0.71
     Finance
    -0.71
    POSITIVE LOGITS
     animals
    1.49
     animal
    1.30
     canine
    1.27
     deer
    1.24
     birds
    1.20
     pup
    1.19
     primates
    1.16
     mammal
    1.14
     chimpanzees
    1.13
     reptiles
    1.13
    Activations Density 0.935%

    No Known Activations