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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. 3154
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    Explanations

    verbs related to acquiring or catching something, especially infections or diseases

    oai_token-act-pair · gpt-3.5-turbo

    terms related to contracting, particularly in medical and economic contexts

    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
    DonaldTrump
    -0.86
    que
    -0.77
    lihood
    -0.69
    Rew
    -0.69
    @#&
    -0.69
    ebook
    -0.69
    ously
    -0.68
    feat
    -0.68
    ocene
    -0.68
    apo
    -0.68
    POSITIVE LOGITS
     contracting
    1.05
     contracted
    0.99
    ð
    0.80
    ategory
    0.80
    daq
    0.77
     exting
    0.75
     exha
    0.73
    rays
    0.72
    entious
    0.70
    ipeg
    0.70
    Activations Density 0.017%

    No Known Activations