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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. 21395
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    Explanations

    mentions of the company "Cit"

    oai_token-act-pair · gpt-3.5-turbo

    references to the company Citigroup

    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
     hopeful
    -0.73
    ¿½
    -0.70
    ãĤĭ
    -0.65
    ĺħ
    -0.62
    IGHTS
    -0.60
    terday
    -0.59
    į
    -0.59
     entrants
    -0.59
    ĪĴ
    -0.58
    æĥ
    -0.58
    POSITIVE LOGITS
    igroup
    1.38
    rix
    1.36
    rus
    1.29
    adel
    1.13
    ron
    1.09
    ronic
    1.01
    berus
    1.00
    rine
    1.00
    ric
    0.99
    rate
    0.98
    Activations Density 0.034%

    No Known Activations