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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. 10-RES-JB
    11. 16487
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    Explanations

    dates and numerical sequences indicated by a dash and following numbers

    oai_token-act-pair · gpt-3.5-turbo

    references to the University of Virginia

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥĨãĤ£
    -0.76
    ;;;;;;;;;;;;
    -0.66
    ãĥ¼ãĥĨ
    -0.65
    orative
    -0.59
    forth
    -0.59
    oqu
    -0.58
    uez
    -0.58
     Darth
    -0.57
    eous
    -0.56
     dmg
    -0.54
    POSITIVE LOGITS
    shaped
    0.92
    turn
    0.89
    Va
    0.84
    571
    0.83
    Turn
    0.82
    Conn
    0.80
    boats
    0.79
    boat
    0.79
    Boot
    0.78
    District
    0.76
    Activations Density 0.023%

    No Known Activations