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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. 3740
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    Explanations

    dates

    oai_token-act-pair · gpt-3.5-turbo

    dates mentioned in the document

    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
    fman
    -0.80
    edIn
    -0.67
    king
    -0.66
    chers
    -0.66
    istics
    -0.66
    minist
    -0.65
    cius
    -0.65
    pee
    -0.64
    kus
    -0.63
     attendant
    -0.63
    POSITIVE LOGITS
     Surprise
    1.16
    fair
    0.89
    avia
    0.88
     2014
    0.85
    OB
    0.84
     2015
    0.82
     2012
    0.81
     2013
    0.81
     2010
    0.78
     2017
    0.78
    Activations Density 0.027%

    No Known Activations