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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. 556
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    Explanations

    words related to organizing or mobilizing people or resources for a purpose or cause

    oai_token-act-pair · gpt-3.5-turbo

    terms related to mobilization and organization efforts

    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
    missions
    -0.72
     tasting
    -0.66
    Gordon
    -0.65
    axter
    -0.63
    lihood
    -0.61
    ble
    -0.61
     Taste
    -0.60
    bid
    -0.60
    apple
    -0.59
    gets
    -0.59
    POSITIVE LOGITS
     mobilization
    1.22
     mobil
    1.17
     mobilize
    1.09
    izational
    0.95
    ilitary
    0.91
     mobilized
    0.90
    izers
    0.81
    andise
    0.79
    naire
    0.78
    obil
    0.76
    Activations Density 0.009%

    No Known Activations