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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. 3-RES-JB
    11. 17627
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    Explanations

    structured data-like information, such as contact details, categories, themes, and specifications

    oai_token-act-pair · gpt-3.5-turbo

    structured data categories and labels

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.91
    avorite
    -0.85
    onite
    -0.85
    oldown
    -0.83
    izons
    -0.77
     fres
    -0.77
    igue
    -0.76
    ixel
    -0.75
    regor
    -0.74
    inement
    -0.73
    POSITIVE LOGITS
     Logged
    0.91
     TBD
    0.90
     CARD
    0.90
     Detected
    0.90
     Unknown
    0.88
     Measures
    0.86
     Provided
    0.82
     Selected
    0.81
     Various
    0.78
     ???
    0.75
    Activations Density 0.164%

    No Known Activations