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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. 8-RES-JB
    11. 8130
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    Explanations

    phrases or sentences describing the composition or makeup of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe the composition or elements of a subject

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hawks
    -0.62
    sell
    -0.61
     Karma
    -0.61
    abad
    -0.59
    fly
    -0.59
    zee
    -0.59
    Hill
    -0.57
    ilings
    -0.57
     helicop
    -0.56
    bell
    -0.55
    POSITIVE LOGITS
     solely
    0.91
     mainly
    0.85
     chiefly
    0.85
     principally
    0.83
     primarily
    0.81
     entirely
    0.78
    antly
    0.77
     prominently
    0.76
    itute
    0.73
    ngth
    0.73
    Activations Density 0.028%

    No Known Activations