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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. 18147
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    Explanations

    mentions of specialized groups or units, particularly related to military or professional fields

    oai_token-act-pair · gpt-3.5-turbo

    references to "Special" as a notable term 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
    ãĤ¼
    -0.76
    iHUD
    -0.70
    Ĥİ
    -0.66
     Twain
    -0.66
    elf
    -0.65
    äºĶ
    -0.65
    uble
    -0.63
    vu
    -0.62
     Feldman
    -0.61
    bare
    -0.61
    POSITIVE LOGITS
    ized
    1.00
    ised
    0.95
     Sauce
    0.94
    isations
    0.91
    izations
    0.91
    eport
    0.90
    ists
    0.90
     Teams
    0.89
    ization
    0.88
    ombat
    0.88
    Activations Density 0.011%

    No Known Activations