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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. 5-RES-JB
    6. 4840
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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to social awareness and activism issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    )|
    -0.48
    externalActionCode
    -0.47
    ))))
    -0.47
     Technique
    -0.45
    REDACTED
    -0.45
     Ultron
    -0.43
     annex
    -0.42
    Ö¼
    -0.42
     Ves
    -0.42
     Dragonbound
    -0.41
    POSITIVE LOGITS
     themselves
    0.70
     their
    0.68
    their
    0.60
     THEIR
    0.56
     nowadays
    0.49
    agonists
    0.49
     histories
    0.48
     varying
    0.48
    chwitz
    0.47
     variations
    0.47
    Activations Density 2.142%

    No Known Activations