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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 10734
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    Explanations

    mentions of the word "Dakota."

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "ota" in various contexts

    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
     def
    -0.62
     hip
    -0.61
     Dynam
    -0.60
     divided
    -0.59
     defamation
    -0.59
     jihadist
    -0.59
     Warn
    -0.59
     satire
    -0.59
     warn
    -0.58
     Comedy
    -0.57
    POSITIVE LOGITS
    ota
    4.87
    OTA
    2.69
    otes
    1.47
    ote
    1.37
    ot
    1.35
    otta
    1.29
    otal
    1.22
    ots
    1.20
    oda
    1.13
    orum
    1.12
    Activations Density 0.012%

    No Known Activations