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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. 15792
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    Explanations

    images or photographs referenced in the text

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "pict" and its variations, indicating a focus on images or visual representations

    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
    claimer
    -0.85
    inventoryQuantity
    -0.83
    conduct
    -0.82
    shapeshifter
    -0.71
    gger
    -0.70
    interstitial
    -0.69
    $$
    -0.69
    Ô
    -0.68
    margin
    -0.65
    20439
    -0.64
    POSITIVE LOGITS
    ured
    1.25
    ures
    1.22
    orial
    1.19
    orious
    1.03
    iful
    1.00
    Pict
    0.99
    ographs
    0.97
    uring
    0.96
    ogram
    0.95
    uously
    0.95
    Activations Density 0.009%

    No Known Activations