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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. 12616
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    INDEX
    Explanations

    phrases related to gathering, analyzing, and sharing information

    oai_token-act-pair · gpt-3.5-turbo

    mentions of information and data collection processes

    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
    sburgh
    -0.73
    aughs
    -0.72
    ourt
    -0.66
    Zone
    -0.66
    ocker
    -0.64
    OVA
    -0.62
     Trilogy
    -0.62
     rejoice
    -0.61
     swallow
    -0.60
    aez
    -0.59
    POSITIVE LOGITS
     about
    1.35
     pertaining
    1.35
     relating
    1.33
     regarding
    1.24
     concerning
    1.23
     pertinent
    1.14
     incrim
    1.12
    about
    1.08
     related
    1.07
     detailing
    1.06
    Activations Density 0.185%

    No Known Activations