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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. 11-RES-JB
    11. 5539
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    INDEX
    Explanations

    phrases related to excitement or enthusiasm

    oai_token-act-pair · gpt-3.5-turbo

    expressions of excitement or notable mentions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cens
    -0.82
    aic
    -0.81
    eus
    -0.77
    eering
    -0.76
    rals
    -0.72
    _>
    -0.68
    fully
    -0.68
    acs
    -0.67
    fulness
    -0.67
    cribed
    -0.67
    POSITIVE LOGITS
    onsense
    0.58
    DonaldTrump
    0.54
    andise
    0.53
    ignt
    0.53
    and
    0.53
     Pont
    0.52
    isman
    0.51
    ¯¯
    0.51
     word
    0.51
     Vaugh
    0.50
    Activations Density 0.241%

    No Known Activations