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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. 9-RES-JB
    11. 13958
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    Explanations

    numerical ratings

    oai_token-act-pair · gpt-3.5-turbo

    sections of structured ratings or comments, possibly related to a review or evaluation format

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     embodiments
    -0.75
    prototype
    -0.66
    20439
    -0.63
    soDeliveryDate
    -0.62
    wana
    -0.61
    CLASSIFIED
    -0.61
    MSN
    -0.61
    FTWARE
    -0.59
    obar
    -0.58
     Gutenberg
    -0.58
    POSITIVE LOGITS
    ã
    1.10
     [+
    0.89
    ãħĭ
    0.86
    ãħĭãħĭ
    0.83
    ][
    0.73
     Redd
    0.67
    ä¼
    0.66
    ~
    0.65
    à¹
    0.64
     sarcastic
    0.64
    Activations Density 0.026%

    No Known Activations