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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. 13733
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    Explanations

    phrases related to large amounts of money or quantities

    oai_token-act-pair · gpt-3.5-turbo

    phrases that reference quantities or large numbers related to money or demographics

    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
    hunt
    -0.79
    soever
    -0.78
    dict
    -0.72
    olson
    -0.66
    ration
    -0.65
    avior
    -0.64
    leep
    -0.63
    icut
    -0.63
    Land
    -0.62
    Fram
    -0.61
    POSITIVE LOGITS
     thousands
    1.53
     thousand
    1.16
     millions
    1.15
     thous
    1.11
     billions
    1.00
     miles
    0.99
     dozen
    0.99
     hundred
    0.98
     kilometres
    0.96
     pounds
    0.92
    Activations Density 0.050%

    No Known Activations