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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. 9640
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    INDEX
    Explanations

    phrases indicating likelihood or possibility

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing probability or certainty

    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
    soDeliveryDate
    -0.74
     Rolls
    -0.70
     Heads
    -0.69
     Cutting
    -0.68
    quickShipAvailable
    -0.66
     Sorceress
    -0.66
     Guards
    -0.65
    forums
    -0.65
     Nurs
    -0.65
     Compass
    -0.64
    POSITIVE LOGITS
    imize
    0.86
     tolerate
    0.86
    venge
    0.84
     stray
    0.80
    idate
    0.79
     adopt
    0.78
     suffice
    0.78
     be
    0.78
    apply
    0.78
    ounce
    0.76
    Activations Density 0.435%

    No Known Activations