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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. 7-RES-JB
    11. 5213
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    INDEX
    Explanations

    mentions of specific dates or time-related information

    oai_token-act-pair · gpt-3.5-turbo

    references to upcoming events and timelines

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     misplaced
    -0.71
    ¬¼
    -0.70
     hid
    -0.69
     prevailed
    -0.69
     tended
    -0.68
     commons
    -0.65
     spilled
    -0.64
    emed
    -0.63
     ingenious
    -0.63
     vulgar
    -0.62
    POSITIVE LOGITS
     2019
    1.06
     TBA
    0.92
    soDeliveryDate
    0.92
     2021
    0.92
    will
    0.90
    ichever
    0.88
    Tickets
    0.87
     whichever
    0.84
    depending
    0.83
     TBD
    0.82
    Activations Density 0.701%

    No Known Activations