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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. 4-RES-JB
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    Explanations

    references to various types of juices

    oai_token-act-pair · gpt-3.5-turbo

    mentions of 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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nam
    -0.69
    igmat
    -0.67
     WATCHED
    -0.67
    upon
    -0.65
    herty
    -0.63
    pict
    -0.62
    SPONSORED
    -0.61
    alien
    -0.61
    rict
    -0.61
    raped
    -0.61
    POSITIVE LOGITS
     juice
    1.23
     juices
    1.11
     Juice
    1.10
    fruit
    0.86
    ée
    0.86
    Ju
    0.83
     glands
    0.80
    icer
    0.79
     tip
    0.78
     conco
    0.76
    Activations Density 0.007%

    No Known Activations