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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. 6419
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    INDEX
    Explanations

    variations of the word 'bed'

    oai_token-act-pair · gpt-3.5-turbo

    references to beds in various 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
     Cruel
    -0.63
     taxable
    -0.62
    artifacts
    -0.62
    Document
    -0.61
    isin
    -0.61
     antioxid
    -0.61
    £ı
    -0.59
    Ħ¢
    -0.57
    olate
    -0.56
    inventoryQuantity
    -0.55
    POSITIVE LOGITS
    ding
    1.16
    dit
    1.12
    bed
    1.12
    rill
    1.00
    ded
    0.98
    ford
    0.89
    bay
    0.84
    bing
    0.83
    roxy
    0.82
    ling
    0.82
    Activations Density 0.005%

    No Known Activations