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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. 4-RES-JB
    11. 7438
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    Explanations

    the abbreviation "AT" followed by a numerical value, specifically with a high activation for "AT 10" and "AT 9"

    oai_token-act-pair · gpt-3.5-turbo

    references to the abbreviation "AT" that relate to various contexts

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

    No Comments

    Negative Logits
    perse
    -0.79
    ingen
    -0.71
     Tsukuyomi
    -0.68
    ppelin
    -0.68
    Blade
    -0.67
     Micha
    -0.66
    produ
    -0.64
     MSM
    -0.63
    hold
    -0.62
    vous
    -0.59
    POSITIVE LOGITS
    ICAN
    1.24
    hetically
    1.00
    RON
    0.93
    ainment
    0.91
    terson
    0.90
    ELY
    0.90
    RIC
    0.89
    ORY
    0.89
    itudes
    0.89
    ECH
    0.89
    Activations Density 0.014%

    No Known Activations