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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. 3832
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    Explanations

    information related to events and organization details

    oai_token-act-pair · gpt-3.5-turbo

    numerical values or quantities related to events or opportunities

    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
    rad
    -0.73
     Reincarnated
    -0.69
     disillusion
    -0.63
     antit
    -0.63
     mistaken
    -0.62
     deceived
    -0.62
     dissu
    -0.62
    llah
    -0.61
     imperson
    -0.60
     footing
    -0.59
    POSITIVE LOGITS
    ³³³
    0.92
     Specifications
    0.89
    ³³³³³³³³³³³³³³³³
    0.85
    Ingredients
    0.81
     Norn
    0.81
     ********************************
    0.81
     Anyway
    0.81
    Anyway
    0.80
    ################################
    0.78
    Bonus
    0.77
    Activations Density 0.339%

    No Known Activations