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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. 10-RES-JB
    11. 5168
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    Explanations

    prompts for communication or interaction with the audience

    oai_token-act-pair · gpt-3.5-turbo

    requests for interaction or communication

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    loads
    -0.63
    æѦ
    -0.60
    Average
    -0.60
    é¾į
    -0.59
     lasted
    -0.58
    utical
    -0.57
    inals
    -0.56
    ores
    -0.55
    illions
    -0.55
    ULTS
    -0.54
    POSITIVE LOGITS
     contact
    1.37
     Contact
    1.30
     email
    1.27
    Email
    1.22
    contact
    1.20
     Email
    1.17
    Contact
    1.07
    please
    1.07
     emailed
    1.06
    email
    1.04
    Activations Density 0.144%

    No Known Activations