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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. 17567
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    Explanations

    mentions of various types of juices and their context

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of juice and sap

    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
    pict
    -0.66
    igmat
    -0.65
    rict
    -0.65
    sighted
    -0.64
    nam
    -0.62
     Visitors
    -0.62
    locked
    -0.62
    rists
    -0.62
    etheless
    -0.62
     Kubrick
    -0.62
    POSITIVE LOGITS
     juice
    1.23
     juices
    1.15
     Juice
    1.09
    fruit
    0.91
    wine
    0.84
    ée
    0.84
    Ju
    0.83
     glands
    0.79
     Beans
    0.78
     tip
    0.78
    Activations Density 0.006%

    No Known Activations