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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. 2210
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    Explanations

    verbs related to organizing, categorizing, and sorting

    oai_token-act-pair · gpt-3.5-turbo

    actions and processes related to organizing and categorizing information

    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
    PLIED
    -0.84
    guard
    -0.83
    facing
    -0.78
    guards
    -0.74
    blers
    -0.69
    irted
    -0.68
    den
    -0.68
    catching
    -0.66
    peace
    -0.66
     PsyNet
    -0.66
    POSITIVE LOGITS
     disparate
    1.00
     together
    0.99
     into
    0.93
     data
    0.92
    ogether
    0.85
     datasets
    0.84
     information
    0.82
     lists
    0.81
     statistics
    0.80
     facts
    0.78
    Activations Density 0.245%

    No Known Activations