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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. 1-RES-JB
    11. 13563
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    Explanations

    references to physical properties of objects or things

    oai_token-act-pair · gpt-3.5-turbo

    mentions of properties or characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rasmussen
    -0.69
     Jenner
    -0.65
    sen
    -0.65
    ILLE
    -0.63
    ACTED
    -0.62
    Reporting
    -0.61
     Naz
    -0.61
    mp
    -0.60
     Mess
    -0.60
    nn
    -0.60
    POSITIVE LOGITS
     properties
    1.54
    properties
    1.10
     Properties
    1.05
     property
    0.87
    chool
    0.85
    property
    0.83
    unctions
    0.82
    perties
    0.82
    jriwal
    0.77
     oun
    0.75
    Activations Density 0.008%

    No Known Activations